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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. 3-RES-JB
    11. 13407
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    INDEX
    Explanations

    years or decades within a specific range with predominance towards the 1980s

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or percentages related to ratings or assessments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assic
    -0.69
    peat
    -0.65
    hammad
    -0.63
    uden
    -0.63
    zag
    -0.62
    abolic
    -0.61
    hire
    -0.61
    faced
    -0.60
    hematically
    -0.60
    actor
    -0.59
    POSITIVE LOGITS
    80
    1.15
    70
    0.91
    211
    0.89
     msec
    0.86
    30
    0.83
    50
    0.82
     ILCS
    0.81
    60
    0.81
    40
    0.80
    803
    0.78
    Activations Density 0.029%

    No Known Activations