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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
    11. 2182
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    INDEX
    Explanations

    references to established customs or practices handed down within a group or society

    oai_token-act-pair · gpt-3.5-turbo

    mentions of tradition

    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
    acts
    -0.68
    ACTED
    -0.67
    driving
    -0.65
    Drug
    -0.64
    large
    -0.63
    arling
    -0.63
    adies
    -0.62
    vable
    -0.61
    vet
    -0.61
     Kardashian
    -0.60
    POSITIVE LOGITS
     tradition
    1.28
     traditions
    1.14
     Tradition
    1.13
    lore
    0.96
    uality
    0.88
    icity
    0.86
    arily
    0.85
    dayName
    0.81
    isphere
    0.77
    smanship
    0.76
    Activations Density 0.009%

    No Known Activations