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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. 10-RES-JB
    11. 16031
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    INDEX
    Explanations

    mentions of the scale or extent of various situations or phenomena

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate magnitude or scale

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erenn
    -0.78
    cellaneous
    -0.77
    ade
    -0.75
    waukee
    -0.74
    nob
    -0.74
    center
    -0.72
    pretty
    -0.72
    advertising
    -0.71
    nis
    -0.69
     âĨij
    -0.69
    POSITIVE LOGITS
     their
    0.80
     difference
    0.80
     disparity
    0.78
     commitment
    0.77
     bribes
    0.77
     penalties
    0.76
     hostilities
    0.76
     commitments
    0.75
     these
    0.75
     penetration
    0.75
    Activations Density 0.146%

    No Known Activations