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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 482
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    Explanations

    words related to legal actions and procedural terms

    oai_token-act-pair · gpt-3.5-turbo

    past participles and words related to actions or states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adra
    -0.96
    alter
    -0.76
    issues
    -0.73
    etics
    -0.72
    lay
    -0.72
    SPONSORED
    -0.70
    hang
    -0.69
    arat
    -0.68
    falls
    -0.66
    adier
    -0.66
    POSITIVE LOGITS
    nesday
    1.02
    irect
    0.91
    escription
    0.83
    ragon
    0.80
     aback
    0.78
    CLASSIFIED
    0.77
    irection
    0.76
    ouble
    0.76
     Ones
    0.76
    monton
    0.76
    Activations Density 0.187%

    No Known Activations