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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 17135
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    Explanations

    hypothetical situations or regrets in which actions could have been different

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements and hypothetical scenarios involving outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    phies
    -0.71
    verend
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    cial
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     nightly
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    orate
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    orship
    -0.61
    nex
    -0.59
    enos
    -0.57
    ench
    -0.57
    eno
    -0.57
    POSITIVE LOGITS
     Pulitzer
    0.84
     sooner
    0.84
    Had
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     someday
    0.77
     Nobel
    0.72
    apo
    0.71
     Wouldn
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    «
    0.69
    amation
    0.68
    MIT
    0.65
    Activations Density 0.689%

    No Known Activations