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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. 0-RES-JB
    11. 13451
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    Explanations

    reasons or explanations

    oai_token-act-pair · gpt-3.5-turbo

    references to explanations or justifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    form
    -0.71
    vest
    -0.68
    clair
    -0.67
    qi
    -0.63
    Equ
    -0.60
    ario
    -0.59
     onto
    -0.58
     ®
    -0.57
    shine
    -0.56
    assembly
    -0.56
    POSITIVE LOGITS
     reasons
    3.90
     Reasons
    2.56
     reason
    2.39
     motives
    1.83
     purposes
    1.80
     excuses
    1.74
     motivations
    1.72
    reason
    1.65
     explanations
    1.54
     factors
    1.48
    Activations Density 0.015%

    No Known Activations