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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. 3-RES-JB
    11. 5053
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    Explanations

    mentions of rules or regulations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific rules or regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itate
    -0.79
    ité
    -0.78
     Courier
    -0.68
     Bras
    -0.65
     Spartans
    -0.64
     Pradesh
    -0.64
    itialized
    -0.64
    ienced
    -0.63
    velength
    -0.63
    colour
    -0.62
    POSITIVE LOGITS
    book
    1.22
    books
    1.07
    witz
    0.94
     rule
    0.94
    breaker
    0.90
    Rule
    0.90
    breakers
    0.88
    BOOK
    0.84
    lessness
    0.80
    rule
    0.79
    Activations Density 0.014%

    No Known Activations