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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. 11-RES-JB
    11. 889
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    INDEX
    Explanations

    mentions of measurements and numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and associated measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chester
    -1.05
    Cle
    -0.96
    596
    -0.95
    cle
    -0.94
     Decker
    -0.92
     Cle
    -0.89
    Chel
    -0.86
    CE
    -0.86
    CLE
    -0.86
     Cul
    -0.86
    POSITIVE LOGITS
    mingham
    0.86
     amphib
    0.74
     Hiro
    0.74
    hof
    0.73
    abs
    0.72
    obs
    0.71
    Alert
    0.71
    abo
    0.70
    jah
    0.69
    ira
    0.69
    Activations Density 0.512%

    No Known Activations