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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. 7-RES-JB
    11. 19352
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    Explanations

    ingredients and cooking instructions in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    key ingredients or components of recipes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )."
    -0.78
    ]."
    -0.71
    .).
    -0.68
    ".
    -0.68
    ".[
    -0.67
    .</
    -0.66
    !".
    -0.64
    ."[
    -0.64
    )).
    -0.63
    }.
    -0.63
    POSITIVE LOGITS
    veland
    0.49
    eah
    0.46
    bilt
    0.45
    reenshots
    0.42
    ucha
    0.41
    uming
    0.41
    ird
    0.41
     Updated
    0.40
     Bris
    0.40
    oug
    0.40
    Activations Density 2.973%

    No Known Activations