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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. 4-RES-JB
    11. 138
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    Explanations

    phrases or sentences referring to a written post or article

    oai_token-act-pair · gpt-3.5-turbo

    references to blog posts or articles

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

    No Comments

    Negative Logits
    estial
    -0.91
     Orchestra
    -0.79
    ãĤ¤ãĥĪ
    -0.70
     Flavoring
    -0.70
     Beans
    -0.69
    isin
    -0.69
    inho
    -0.68
     Kid
    -0.67
    aughs
    -0.65
    oti
    -0.65
    POSITIVE LOGITS
    gres
    1.19
    doctoral
    1.17
    mortem
    1.09
    doc
    0.96
    natal
    0.95
    modern
    0.94
    traumatic
    0.92
    mort
    0.91
    orial
    0.90
     hoc
    0.89
    Activations Density 0.031%

    No Known Activations