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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. 9057
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    Explanations

    mathematical expressions and numbers formatted in a specific way

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and associated data

    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
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    No Comments

    Negative Logits
     tradem
    -1.10
     volunte
    -0.84
     srf
    -0.84
    inates
    -0.83
    uations
    -0.80
    aution
    -0.77
    abwe
    -0.76
     millenn
    -0.75
     conflic
    -0.75
    psey
    -0.73
    POSITIVE LOGITS
    87
    1.02
    88
    0.98
    77
    0.94
    66
    0.91
    61
    0.90
    37
    0.90
    81
    0.90
    63
    0.89
    71
    0.88
    41
    0.88
    Activations Density 0.039%

    No Known Activations