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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. 3-RES-JB
    11. 5581
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    Explanations

    phrases related to environmental cleanup or remediation

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental cleanup efforts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abet
    -0.68
    othes
    -0.67
    bole
    -0.66
    amy
    -0.66
    inen
    -0.66
    awed
    -0.65
    rams
    -0.65
    BN
    -0.65
    sson
    -0.65
    inx
    -0.63
    POSITIVE LOGITS
     cleanup
    1.33
    é¾įå¥ij士
    0.78
    aukee
    0.77
     salvage
    0.74
    chwitz
    0.73
     dred
    0.73
     upkeep
    0.72
     remed
    0.71
     advis
    0.71
    halla
    0.70
    Activations Density 0.015%

    No Known Activations