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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. 8-RES-JB
    11. 23568
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    Explanations

    mentions of ingredients in recipes, specifically focused on celery

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "cery" and related variations, likely related to themes of food or cooking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulated
    -0.90
    ulation
    -0.87
    ulatory
    -0.77
    ulative
    -0.76
    ulating
    -0.76
    eston
    -0.74
    ulations
    -0.73
    PF
    -0.71
    umm
    -0.71
    uation
    -0.70
    POSITIVE LOGITS
    flies
    1.07
    pieces
    0.83
    housing
    0.81
    nces
    0.81
    tery
    0.81
    yk
    0.77
     Stores
    0.77
    yy
    0.76
    llan
    0.74
    gian
    0.74
    Activations Density 0.071%

    No Known Activations