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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. 3-RES-JB
    11. 5635
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    Explanations

    words related to food or cooking

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "stew" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.79
    thodox
    -0.70
     Fasc
    -0.67
    prus
    -0.63
    NetMessage
    -0.62
    berra
    -0.61
    anguage
    -0.61
    itten
    -0.61
     Scouting
    -0.60
     PowerPoint
    -0.60
    POSITIVE LOGITS
     stew
    1.27
    ards
    1.19
    ard
    1.08
    arding
    1.03
     Stew
    0.97
    itect
    0.93
    arded
    0.92
    ARDS
    0.87
    ARD
    0.82
    washer
    0.81
    Activations Density 0.006%

    No Known Activations