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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. 0-RES-JB
    11. 1218
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    Explanations

    stylistic descriptions or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    references to styles or forms of expression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĪĴ
    -0.86
    76561
    -0.81
    conservancy
    -0.75
     sacrific
    -0.70
    ESA
    -0.70
    Christ
    -0.68
    quished
    -0.67
    eneg
    -0.67
    CU
    -0.67
     Contributions
    -0.66
    POSITIVE LOGITS
    lishes
    0.80
    ulation
    0.70
     mock
    0.63
     urge
    0.62
     urges
    0.61
     unintentionally
    0.60
     style
    0.59
     beh
    0.59
     digest
    0.59
     Breach
    0.59
    Activations Density 0.000%

    No Known Activations