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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. 2-RES-JB
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    Explanations

    ingredients or cooking instructions involving oil

    oai_token-act-pair · gpt-3.5-turbo

    mentions of different types of oils used in cooking and other contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EMBER
    -0.80
    ARGET
    -0.79
     WATCHED
    -0.79
     Visitors
    -0.74
    BY
    -0.73
    itals
    -0.71
    HCR
    -0.68
    abouts
    -0.67
    %%%%
    -0.66
    REAM
    -0.65
    POSITIVE LOGITS
    tip
    0.99
    ée
    0.89
     soluble
    0.88
     glands
    0.86
    comb
    0.84
    seed
    0.84
    worm
    0.83
    wrap
    0.82
     mustard
    0.80
    lette
    0.80
    Activations Density 0.033%

    No Known Activations