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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. 3324
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    INDEX
    Explanations

    adjectives relating to appearance or behavior

    oai_token-act-pair · gpt-3.5-turbo

    words that convey a sense of uncertainty or vagueness

    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
    chwitz
    -0.76
    slave
    -0.70
    ovember
    -0.69
    RF
    -0.68
    asio
    -0.67
    raviolet
    -0.66
    uber
    -0.65
    cius
    -0.63
     Taxes
    -0.63
     Coins
    -0.63
    POSITIVE LOGITS
    nesses
    0.91
    ness
    0.90
    lly
    0.80
    hearted
    0.79
    ly
    0.79
     sounding
    0.76
    glers
    0.75
     little
    0.75
    puff
    0.73
     greens
    0.73
    Activations Density 0.095%

    No Known Activations