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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. 8-RES-JB
    11. 3234
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    INDEX
    Explanations

    numeric values related to rankings or performance comparisons

    oai_token-act-pair · gpt-3.5-turbo

    statistical comparisons and superlatives indicating extremes or significant values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    din
    -0.70
    fen
    -0.68
    opard
    -0.68
    blers
    -0.67
    dot
    -0.66
    docs
    -0.65
    oras
    -0.64
     Idol
    -0.64
    hops
    -0.64
    raf
    -0.63
    POSITIVE LOGITS
    ever
    1.02
     consecutive
    0.86
     ever
    0.85
     occurrence
    0.81
     cumulative
    0.81
     omission
    0.79
     outburst
    0.77
     haul
    0.77
     reversal
    0.76
     outing
    0.76
    Activations Density 0.134%

    No Known Activations