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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. 4-RES-JB
    11. 2083
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    Explanations

    references to exchanges, particularly the Securities and Exchange Commission

    oai_token-act-pair · gpt-3.5-turbo

    references to various exchanges, particularly financial or stock exchanges

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

    No Comments

    Negative Logits
    oca
    -0.86
    udeb
    -0.82
    avid
    -0.80
    gets
    -0.77
    stra
    -0.75
    Dur
    -0.74
    OGR
    -0.73
    aja
    -0.73
    =-=-=-=-=-=-=-=-
    -0.72
    ItemThumbnailImage
    -0.72
    POSITIVE LOGITS
     Exchange
    0.95
    ptives
    0.81
     mailbox
    0.81
    ratulations
    0.75
    prises
    0.74
     Royale
    0.72
     Agent
    0.71
     Commission
    0.71
    prise
    0.69
    eering
    0.68
    Activations Density 0.010%

    No Known Activations