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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
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    Explanations

    mentions of various types of steel products

    oai_token-act-pair · gpt-3.5-turbo

    mentions of steel and its impact on various industries and contexts

    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
     Kard
    -0.75
    itia
    -0.70
    uate
    -0.70
    romeda
    -0.70
     [|
    -0.70
     Garr
    -0.68
     Niet
    -0.67
     Lowry
    -0.66
    olulu
    -0.65
     Chomsky
    -0.65
    POSITIVE LOGITS
    Series
    1.12
     wool
    1.09
    works
    1.01
    workers
    0.96
    steel
    0.93
    worker
    0.92
     beams
    0.91
    fish
    0.90
    anguage
    0.89
     oxide
    0.87
    Activations Density 0.014%

    No Known Activations