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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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    references to literary manuscripts

    oai_token-act-pair · gpt-3.5-turbo

    references to manuscripts and associated terms

    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
    lando
    -0.78
    alty
    -0.77
    Active
    -0.76
    ĪĴ
    -0.76
    ened
    -0.74
    nie
    -0.73
    radius
    -0.72
    stad
    -0.71
    ening
    -0.69
    nova
    -0.69
    POSITIVE LOGITS
     manuscripts
    1.03
     manuscript
    1.03
    20439
    0.79
    lishing
    0.71
    smanship
    0.70
     transcript
    0.69
    itatively
    0.69
     publishing
    0.68
     texts
    0.68
     copy
    0.67
    Activations Density 0.015%

    No Known Activations