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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. 8-RES-JB
    6. 17251
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating permission or allowance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     expecting
    -0.76
     forgetting
    -0.69
    seeing
    -0.67
     hoping
    -0.66
    tons
    -0.65
     asking
    -0.64
     imagining
    -0.64
     advising
    -0.64
     afraid
    -0.63
    RD
    -0.63
    POSITIVE LOGITS
     occur
    1.35
     become
    1.18
     propagate
    1.13
     arise
    1.05
     arrive
    1.04
     originate
    1.04
     be
    1.04
     happen
    1.04
     expire
    1.03
     explode
    1.02
    Activations Density 0.188%

    No Known Activations