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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. 4-RES-JB
    11. 13557
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    INDEX
    Explanations

    phrases related to excitement and anticipation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "hype" and related concepts

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

    No Comments

    Negative Logits
    tein
    -0.68
     illegally
    -0.68
    itars
    -0.64
    itaire
    -0.61
     Graveyard
    -0.61
    scl
    -0.61
    arre
    -0.60
     reconc
    -0.60
    aughters
    -0.59
     crossings
    -0.58
    POSITIVE LOGITS
     hype
    1.16
     tremend
    0.85
    leading
    0.79
    aic
    0.78
    sters
    0.77
    bub
    0.73
    hyp
    0.73
    åİ
    0.72
     frenzy
    0.70
     hysteria
    0.69
    Activations Density 0.014%

    No Known Activations