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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. 0-RES-JB
    11. 19276
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    Explanations

    numerical data or statistics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hes
    -0.67
     Canaveral
    -0.66
    ront
    -0.66
    pired
    -0.65
     Wash
    -0.64
    aine
    -0.64
    auga
    -0.63
     Ves
    -0.63
    =]
    -0.61
     Cream
    -0.61
    POSITIVE LOGITS
     statistics
    3.64
    Statistics
    2.76
     Statistics
    2.69
     statistic
    2.58
     stats
    2.49
    stats
    2.03
     statistical
    2.02
     Stats
    1.83
     metrics
    1.76
    Stats
    1.65
    Activations Density 0.008%

    No Known Activations