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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. 2993
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    INDEX
    Explanations

    instances where correctness is emphasized or questioned

    oai_token-act-pair · gpt-3.5-turbo

    statements or phrases indicating correctness or accuracy

    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
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    No Comments

    Negative Logits
    GGGGGGGG
    -0.71
    fruit
    -0.70
    atos
    -0.69
    mop
    -0.69
    aden
    -0.67
     Valhalla
    -0.66
    EMOTE
    -0.65
    CHO
    -0.64
    agine
    -0.64
     Das
    -0.63
    POSITIVE LOGITS
     spelling
    0.93
    ives
    0.92
    ibly
    0.89
    fully
    0.86
    able
    0.84
    yt
    0.83
    ively
    0.83
    eous
    0.82
     guiActiveUn
    0.81
    ible
    0.81
    Activations Density 0.017%

    No Known Activations