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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. 5079
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    Explanations

    names or references to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their characteristics or actions

    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
     DOI
    -0.71
     Supplement
    -0.69
    0200
    -0.68
    wards
    -0.66
     unden
    -0.65
     Related
    -0.63
    tnc
    -0.63
    FINEST
    -0.63
    iHUD
    -0.62
    cible
    -0.62
    POSITIVE LOGITS
     deserves
    0.76
    has
    0.74
     cared
    0.73
     Ares
    0.72
     cares
    0.71
     knows
    0.70
     belongs
    0.69
     who
    0.68
     knew
    0.67
     lied
    0.67
    Activations Density 0.110%

    No Known Activations