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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. 7-RES-JB
    11. 21724
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    Explanations

    numerical data, particularly related to statistics or measurements

    oai_token-act-pair · gpt-3.5-turbo

    statistics and measurements related to data analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çīĪ
    -0.79
    cott
    -0.76
    udicrous
    -0.73
    clusive
    -0.70
    ahs
    -0.70
    Ń·
    -0.69
    ©¶æ¥µ
    -0.69
    Exception
    -0.68
    ":"","
    -0.68
    andal
    -0.66
    POSITIVE LOGITS
     trends
    1.10
     probabilities
    1.06
     traject
    1.04
     indicators
    1.02
     likelihood
    0.98
     percentile
    0.97
     outcomes
    0.96
     prevalence
    0.96
     perceptions
    0.96
     demographics
    0.94
    Activations Density 0.569%

    No Known Activations