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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. 9-RES-JB
    11. 13602
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    Explanations

    specific numerical patterns, possibly related to programming code or instructions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the number eleven and associated data points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inates
    -0.81
     tradem
    -0.79
    abwe
    -0.71
    kens
    -0.71
    uations
    -0.70
    kson
    -0.68
    inate
    -0.66
    ensional
    -0.63
    aution
    -0.63
    icably
    -0.62
    POSITIVE LOGITS
    th
    0.90
    87
    0.86
    01
    0.84
    50
    0.82
    0010
    0.81
    55
    0.80
    61
    0.80
    37
    0.78
    77
    0.78
    66
    0.76
    Activations Density 0.071%

    No Known Activations