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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
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    Explanations

    mentions of the word "Fry"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and foods related to frying

    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
     bearer
    -0.73
    orney
    -0.67
     analges
    -0.66
     ACTIONS
    -0.66
    DCS
    -0.66
    aucas
    -0.66
     Archdemon
    -0.61
    luster
    -0.59
     authorizing
    -0.58
    aining
    -0.58
    POSITIVE LOGITS
     Fry
    1.32
     fry
    0.93
    mons
    0.87
    bys
    0.87
    mone
    0.83
    ©¶æ¥µ
    0.82
     Bender
    0.82
     fries
    0.80
    rency
    0.79
    nder
    0.77
    Activations Density 0.007%

    No Known Activations