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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. 6-RES-JB
    11. 7049
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    Explanations

    descriptions of hypothetical scenarios using conditional statements

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    akia
    -0.73
    FTWARE
    -0.71
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.69
    axy
    -0.68
    STAR
    -0.66
    iliar
    -0.65
    ãĤ«
    -0.61
    advertisement
    -0.61
    forth
    -0.61
    ilial
    -0.61
    POSITIVE LOGITS
    fy
    0.92
     someone
    0.86
     somebody
    0.85
    soever
    0.78
     they
    0.78
     landlords
    0.76
    yip
    0.75
     policymakers
    0.74
     anyone
    0.72
     unchecked
    0.69
    Activations Density 0.052%

    No Known Activations