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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. 4-RES-JB
    11. 15401
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    Explanations

    phrases related to building upon previous knowledge or achievements

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate continuation or building upon previous concepts

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

    No Comments

    Negative Logits
    ACTED
    -0.77
    SourceFile
    -0.75
    bands
    -0.73
    UTC
    -0.70
    Cub
    -0.69
    RESULTS
    -0.68
    YY
    -0.67
    leigh
    -0.67
    اØ
    -0.66
    DEN
    -0.63
    POSITIVE LOGITS
    erous
    0.89
     behalf
    0.86
     impulse
    0.80
     asphalt
    0.76
    cale
    0.75
     adrenaline
    0.73
     rooft
    0.73
    assis
    0.72
    slaught
    0.71
     instinct
    0.70
    Activations Density 0.104%

    No Known Activations