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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. 8920
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    INDEX
    Explanations

    terms related to excessive promotion or excitement

    oai_token-act-pair · gpt-3.5-turbo

    references to hype and excitement surrounding topics

    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
    itaire
    -0.70
    tein
    -0.69
     illegally
    -0.67
    alian
    -0.63
     Graveyard
    -0.63
    aughters
    -0.61
    bidden
    -0.60
    scl
    -0.60
     reconc
    -0.60
    tnc
    -0.59
    POSITIVE LOGITS
     hype
    1.21
     tremend
    0.87
    hyp
    0.80
     hysteria
    0.77
    aic
    0.76
    leading
    0.76
    olicy
    0.75
    bub
    0.75
     frenzy
    0.71
    rite
    0.71
    Activations Density 0.014%

    No Known Activations