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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. 6-RES-JB
    11. 21979
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    INDEX
    Explanations

    numbers indicating performance highs or lows in specific career or game-related contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to career-high statistics in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Square
    -0.79
    Pros
    -0.72
    part
    -0.71
    pring
    -0.68
    PART
    -0.68
    mass
    -0.67
    microsoft
    -0.67
    mop
    -0.66
    stab
    -0.65
    xxx
    -0.65
    POSITIVE LOGITS
     record
    0.78
     haul
    0.75
     scorer
    0.74
     tally
    0.74
     sixth
    0.68
     consecutive
    0.68
    LEASE
    0.67
     amount
    0.66
     conserve
    0.65
     rainfall
    0.65
    Activations Density 0.100%

    No Known Activations