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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

    specific mentions or occurrences of the word "wide" accompanied by a numeric value indicating its extent or scope

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "wide" in various contexts

    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
     Tribe
    -0.72
     Epstein
    -0.70
    ilater
    -0.65
     Aliens
    -0.65
     FANT
    -0.63
     Miranda
    -0.62
     Element
    -0.59
     Intercept
    -0.59
     Frankenstein
    -0.59
     Luck
    -0.59
    POSITIVE LOGITS
    wide
    1.40
    sheet
    0.88
    keye
    0.87
    sheets
    0.83
    vine
    0.81
    creen
    0.80
    ahon
    0.76
    entimes
    0.75
    urst
    0.75
    long
    0.74
    Activations Density 0.004%

    No Known Activations