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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. 7-RES-JB
    11. 13885
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    Explanations

    topics or tags mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to various topics and tags

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otos
    -0.90
    ript
    -0.73
     redemption
    -0.72
    yrus
    -0.70
    heed
    -0.66
     promise
    -0.66
     dece
    -0.64
    otin
    -0.63
     masters
    -0.63
     pent
    -0.62
    POSITIVE LOGITS
    Topics
    1.05
     EVENT
    0.79
    afety
    0.78
    matter
    0.77
    ource
    0.71
    encies
    0.70
     Flavoring
    0.70
    ĸļ
    0.70
     Trend
    0.68
     Emer
    0.67
    Activations Density 0.018%

    No Known Activations