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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. 10868
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    Explanations

    mentions or indications of financial figures in the billions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "in" within various numerical and contextual financial statements

    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
    rily
    -0.72
    bryce
    -0.71
    ylum
    -0.68
    rang
    -0.68
    rett
    -0.64
    bol
    -0.63
    leader
    -0.62
    emo
    -0.62
    IDE
    -0.61
    PASS
    -0.61
    POSITIVE LOGITS
    ordinate
    1.12
     increments
    1.07
    effic
    1.01
    efficiency
    0.99
     accordance
    0.96
    clusively
    0.95
     regards
    0.93
     relation
    0.93
    organic
    0.92
    clusions
    0.92
    Activations Density 0.267%

    No Known Activations