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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. 6-RES-JB
    11. 18968
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    Explanations

    mentions of specific objects or concepts within a context

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "these."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    achus
    -0.83
    iness
    -0.77
    igation
    -0.73
    hood
    -0.72
    itudinal
    -0.72
    ppe
    -0.71
    heit
    -0.70
    ternity
    -0.69
    zzle
    -0.69
    icka
    -0.69
    POSITIVE LOGITS
     kinds
    1.07
     sorts
    1.01
     types
    0.85
     proceedings
    0.83
     fellows
    0.83
     facts
    0.81
     gentlemen
    0.78
     shores
    0.77
     islands
    0.77
     guys
    0.77
    Activations Density 0.088%

    No Known Activations