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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. 8480
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    verbs related to legal or formal documentation

    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
    utra
    -0.82
    osate
    -0.78
    IDS
    -0.77
    verson
    -0.77
    adan
    -0.72
    ayn
    -0.71
    slave
    -0.71
    ascript
    -0.70
    aic
    -0.70
    eda
    -0.69
    POSITIVE LOGITS
     ones
    0.78
    ouble
    0.77
    own
    0.76
     grou
    0.73
     multip
    0.70
    irect
    0.69
     subur
    0.67
     immunity
    0.66
     embodiment
    0.66
     lung
    0.66
    Activations Density 0.333%

    No Known Activations