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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. 24308
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    Explanations

    adjectives

    oai_token-act-pair · gpt-3.5-turbo

    components of formal written arguments or opinions

    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
     dime
    -0.66
     peg
    -0.63
     buck
    -0.62
     Elk
    -0.62
     cigar
    -0.61
     dove
    -0.60
     prick
    -0.59
     trump
    -0.59
     tremend
    -0.59
    è£ħ
    -0.58
    POSITIVE LOGITS
    ations
    1.05
    itionally
    1.05
    ationally
    1.03
    itivity
    1.01
    ologists
    1.00
    ational
    1.00
    alities
    0.99
    isms
    0.99
    ibility
    0.98
    iminary
    0.98
    Activations Density 0.185%

    No Known Activations