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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. 1-RES-JB
    11. 767
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    INDEX
    Explanations

    mentions of wheel-related concepts or terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Whe" and its variations, indicating a focus on a specific topic or entity related to that term

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocene
    -0.81
    pmwiki
    -0.80
    76561
    -0.76
    arios
    -0.74
    ographers
    -0.73
    inates
    -0.72
    ologist
    -0.70
    uated
    -0.69
    EMBER
    -0.68
    otom
    -0.68
    POSITIVE LOGITS
     Whe
    1.11
    Whe
    1.06
    whe
    0.94
     whe
    0.86
    yton
    0.82
    warts
    0.81
     unden
    0.79
    zza
    0.77
    lli
    0.76
    Sov
    0.75
    Activations Density 0.008%

    No Known Activations