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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. 5189
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    Explanations

    texts asking for or providing feedback, reviews, comments, or recommendations

    oai_token-act-pair · gpt-3.5-turbo

    instances of written content requests or instructions

    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
    ItemThumbnailImage
    -0.81
    ão
    -0.69
    isSpecialOrderable
    -0.69
    hunter
    -0.68
    htar
    -0.67
    FML
    -0.66
    CHAT
    -0.65
    ahime
    -0.64
     vantage
    -0.64
     Persons
    -0.63
    POSITIVE LOGITS
     screenplay
    0.75
     pulp
    0.73
     journals
    0.72
     journal
    0.71
    ilk
    0.68
     memos
    0.67
    weet
    0.67
     diary
    0.67
    itatively
    0.66
     Gazette
    0.65
    Activations Density 0.190%

    No Known Activations