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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. 9-RES-JB
    11. 5951
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    Explanations

    mentions of being "featured in" something, like publications, galleries, or productions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of artistic or illustrative works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     alone
    -0.65
    perfect
    -0.62
    atus
    -0.58
    arta
    -0.58
    _.
    -0.57
     shouldn
    -0.56
     respectively
    -0.55
     isn
    -0.54
    value
    -0.53
    feld
    -0.53
    POSITIVE LOGITS
     other
    0.89
    cellaneous
    0.75
     OTHER
    0.73
     Miscellaneous
    0.72
     Other
    0.72
    OTHER
    0.71
     neighbouring
    0.67
     additional
    0.65
    other
    0.65
    Other
    0.63
    Activations Density 1.470%

    No Known Activations