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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. 857
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    words related to omissions, caveats, and redactions in documents

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to omissions and redactions in documents

    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
    ingham
    -0.84
    rator
    -0.82
    izoph
    -0.77
    rated
    -0.77
    rates
    -0.73
     Jing
    -0.73
    rad
    -0.69
    rating
    -0.69
    ride
    -0.68
    rators
    -0.68
    POSITIVE LOGITS
     clar
    0.90
     footnote
    0.89
     omitted
    0.84
     embell
    0.78
     disclaim
    0.76
     omission
    0.76
     sparing
    0.73
     prominently
    0.73
     mention
    0.71
     spared
    0.70
    Activations Density 0.041%

    No Known Activations