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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. 6-RES-JB
    11. 24497
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    Explanations

    mentions of craft beverages, particularly beer

    oai_token-act-pair · gpt-3.5-turbo

    references to craft beer and brewing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fas
    -0.91
     Canaver
    -0.84
     NCT
    -0.81
    phia
    -0.74
     Mum
    -0.74
     Mub
    -0.70
     GOODMAN
    -0.69
     Adin
    -0.68
     Waterloo
    -0.68
     Burk
    -0.67
    POSITIVE LOGITS
    smanship
    2.25
    spe
    1.17
    manship
    1.10
    ivism
    0.93
    craft
    0.88
    fruit
    0.84
    Beer
    0.84
     craft
    0.83
    hest
    0.83
    crafted
    0.83
    Activations Density 0.013%

    No Known Activations