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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. 13965
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    INDEX
    Explanations

    proper nouns related to quotes or dialogue

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of dialogue or statements made by characters

    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
    ãĥİ
    -0.71
    pend
    -0.64
    arent
    -0.62
    ãĥĥãĥī
    -0.60
    found
    -0.59
    MU
    -0.58
    Operation
    -0.55
    OIL
    -0.54
    Pont
    -0.53
    theless
    -0.53
    POSITIVE LOGITS
     sarcast
    0.97
     bluntly
    0.93
     rhet
    0.92
     emphatically
    0.84
     afterward
    0.83
     softly
    0.79
     incred
    0.79
    .
    0.78
     referring
    0.77
     confidently
    0.77
    Activations Density 0.102%

    No Known Activations