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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. 3292
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    INDEX
    Explanations

    instances where credit or acknowledgment is given

    oai_token-act-pair · gpt-3.5-turbo

    references to giving or receiving credit

    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
    nel
    -0.70
    icz
    -0.65
    IFE
    -0.63
    atos
    -0.63
    chan
    -0.62
     Afgh
    -0.62
     rav
    -0.61
     mosquit
    -0.60
     protracted
    -0.58
    hma
    -0.56
    POSITIVE LOGITS
    ibly
    0.96
    olor
    0.83
    ittal
    0.72
     card
    0.72
    ulous
    0.71
    abilities
    0.71
    enza
    0.70
     cards
    0.70
    worthiness
    0.69
     credits
    0.68
    Activations Density 0.039%

    No Known Activations