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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    the word "short."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "in short."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umi
    -0.65
     Frey
    -0.63
     Budd
    -0.60
    antine
    -0.60
    rite
    -0.60
     delegate
    -0.58
    ga
    -0.58
    illard
    -0.58
     secrets
    -0.58
    Train
    -0.58
    POSITIVE LOGITS
     nutshell
    1.12
    skirts
    0.88
    casts
    0.87
    ening
    0.84
    lasses
    0.84
     bursts
    0.81
    ebin
    0.80
    etheless
    0.77
    aez
    0.75
    ength
    0.75
    Activations Density 0.012%

    No Known Activations