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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. 1-RES-JB
    11. 683
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    INDEX
    Explanations

    dates and time periods

    oai_token-act-pair · gpt-3.5-turbo

    references to significant dates and historical events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĺ
    -0.74
    icrobial
    -0.74
    omorph
    -0.71
    yk
    -0.69
    resa
    -0.69
    urden
    -0.68
    iment
    -0.68
    uum
    -0.68
    emia
    -0.68
    anie
    -0.67
    POSITIVE LOGITS
     1964
    0.91
     inval
    0.89
     1972
    0.86
     Yugoslavia
    0.85
     1963
    0.84
     1953
    0.84
     Yugoslav
    0.83
     1968
    0.83
     1954
    0.81
     1989
    0.79
    Activations Density 1.317%

    No Known Activations