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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. 14529
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    Explanations

    words related to abstract concepts or situations that have potential consequences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to negative societal behaviors and medical conditions

    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
     largeDownload
    -0.71
    liquid
    -0.61
    cham
    -0.60
    rollers
    -0.59
     instinctively
    -0.59
     âĨij
    -0.58
    llan
    -0.58
     Reincarn
    -0.57
    BOOK
    -0.57
    lli
    -0.57
    POSITIVE LOGITS
    ity
    3.12
    ities
    2.56
    ITY
    1.94
    ization
    1.87
    ité
    1.84
    izing
    1.82
    ITIES
    1.78
    ized
    1.77
    itous
    1.77
    ties
    1.75
    Activations Density 0.181%

    No Known Activations