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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. 17660
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    Explanations

    mentions of technical processes or procedures

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future plans or expectations

    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
    iquette
    -0.79
    galitarian
    -0.74
    ĸļ
    -0.66
    DragonMagazine
    -0.65
    minus
    -0.65
    notations
    -0.64
    Its
    -0.63
     Its
    -0.63
    itaire
    -0.61
    unity
    -0.61
    POSITIVE LOGITS
     these
    0.93
     those
    0.85
     ones
    0.81
    These
    0.78
    these
    0.77
     THESE
    0.76
     These
    0.70
     their
    0.68
    those
    0.67
    Others
    0.67
    Activations Density 1.163%

    No Known Activations