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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. 16006
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    INDEX
    Explanations

    names or words related to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names, particularly those of people or characters

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Bunny
    -0.80
    birds
    -0.74
     STEM
    -0.71
    dash
    -0.71
     Binding
    -0.70
    maid
    -0.69
     Gateway
    -0.66
    eer
    -0.65
    dar
    -0.63
     dstg
    -0.63
    POSITIVE LOGITS
    qv
    0.91
    inct
    0.86
    merga
    0.84
    isd
    0.83
    ļ
    0.82
    ife
    0.80
    thur
    0.79
    iqueness
    0.78
    veyard
    0.77
    ipment
    0.77
    Activations Density 0.023%

    No Known Activations