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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. 10-RES-JB
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    Explanations

    mentions of cannabis-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cannabis and its related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ered
    -0.87
    erer
    -0.85
    ysis
    -0.80
    erers
    -0.74
    birds
    -0.73
    eering
    -0.73
    stein
    -0.68
    ing
    -0.68
    ering
    -0.67
    ger
    -0.66
    POSITIVE LOGITS
    CRIP
    1.01
    '
    0.98
    '-
    0.88
    film
    0.83
    bourg
    0.79
    Corp
    0.78
    '/
    0.76
    gow
    0.75
    Film
    0.74
    pring
    0.74
    Activations Density 0.081%

    No Known Activations