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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
    11. 7695
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    Explanations

    phrases related to cooking

    oai_token-act-pair · gpt-3.5-turbo

    references to cooking and related culinary activities

    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
    orb
    -0.74
    emale
    -0.74
     Citizens
    -0.69
    hovah
    -0.69
    oral
    -0.69
    vernment
    -0.68
    umbn
    -0.66
    idas
    -0.64
    ertodd
    -0.64
    venants
    -0.64
    POSITIVE LOGITS
     cook
    1.02
     cooks
    0.98
    Cook
    0.97
    cook
    0.96
     cooked
    0.94
     fry
    0.92
    washer
    0.91
    books
    0.90
    stall
    0.90
     stove
    0.89
    Activations Density 0.014%

    No Known Activations