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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. 1-RES-JB
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    Explanations

    mentions of the name "Fry"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Fry" and related terms associated with preparation or cooking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bearer
    -0.79
    aucas
    -0.72
     analges
    -0.66
     Honour
    -0.63
     imposing
    -0.63
    orney
    -0.61
     authorizing
    -0.61
     legalized
    -0.60
     traff
    -0.60
     sclerosis
    -0.59
    POSITIVE LOGITS
     Fry
    1.63
     Bender
    1.06
     fry
    1.02
    ©¶æ¥µ
    0.93
    mons
    0.89
    ĸļ
    0.86
    rency
    0.85
     fries
    0.83
    mone
    0.82
    tail
    0.80
    Activations Density 0.006%

    No Known Activations