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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. 11-RES-JB
    11. 7634
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    INDEX
    Explanations

    adverbs and adverbial phrases indicating likelihood or frequency

    oai_token-act-pair · gpt-3.5-turbo

    words indicating probabilities or frequencies of occurrence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-=-=-=-=-
    -0.88
    galitarian
    -0.74
    amins
    -0.73
    ukong
    -0.71
    perture
    -0.70
    aez
    -0.69
    ircraft
    -0.69
    oir
    -0.68
    ibles
    -0.68
    sein
    -0.67
    POSITIVE LOGITS
     culminating
    1.19
     resulting
    1.17
     indicating
    1.16
     involving
    1.13
     intending
    1.11
     implying
    1.10
     relying
    1.09
     citing
    1.09
     preferring
    1.08
     numbering
    1.07
    Activations Density 0.127%

    No Known Activations