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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. 10-RES-JB
    11. 1248
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    Explanations

    keywords related to accusations or attributions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to accidents or incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Sawyer
    -0.72
    SG
    -0.64
    ĪĴ
    -0.61
    ï¸
    -0.60
     Silk
    -0.59
    NING
    -0.59
    senal
    -0.59
     Huckabee
    -0.58
     Dare
    -0.58
    bush
    -0.56
    POSITIVE LOGITS
    redited
    1.49
    urate
    1.48
    ommod
    1.44
    ompl
    1.43
    idental
    1.39
    identally
    1.37
    reditation
    1.37
    uracy
    1.37
    laim
    1.34
    ustomed
    1.29
    Activations Density 0.019%

    No Known Activations