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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. 11-RES-JB
    11. 23193
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    Explanations

    references to craft beverages, particularly beer

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "craft" in relation to beverages, particularly beer

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NCT
    -0.81
     Haram
    -0.71
    phia
    -0.69
     Fas
    -0.67
    ãĤ¶
    -0.66
     Torrent
    -0.63
     Prol
    -0.63
     Goodman
    -0.63
    pta
    -0.62
    andum
    -0.62
    POSITIVE LOGITS
    smanship
    2.27
    spe
    1.23
    manship
    1.09
    sonian
    1.00
     beer
    0.98
    iness
    0.97
    beer
    0.94
    Beer
    0.93
    sy
    0.93
    ily
    0.93
    Activations Density 0.044%

    No Known Activations