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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. 4-RES-JB
    11. 1064
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    Explanations

    names or references to individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or entities, particularly in the context of their roles or actions

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

    No Comments

    Negative Logits
    bilt
    -0.85
    £ı
    -0.76
    =-=-
    -0.72
    andise
    -0.69
    ¬¼
    -0.68
     compr
    -0.67
    perty
    -0.65
     biscuits
    -0.64
    ĵĺ
    -0.64
     limp
    -0.64
    POSITIVE LOGITS
    irection
    1.11
    aho
    1.08
    ividual
    1.05
    irect
    0.98
    aniel
    0.96
    ée
    0.96
    iots
    0.95
    iosyncr
    0.92
    leness
    0.92
    uary
    0.91
    Activations Density 0.018%

    No Known Activations