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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. 11-RES-JB
    11. 7074
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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of empty or placeholder text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pione
    -1.22
    ò
    -1.17
     exting
    -1.16
     eleph
    -1.12
    aditional
    -1.11
    Þ
    -1.07
    ñ
    -1.06
    Ĝ
    -1.04
     practition
    -1.04
    ö
    -1.04
    POSITIVE LOGITS
    .
    1.15
    .,
    0.95
    .?
    0.95
    .-
    0.91
    .—
    0.88
    ./
    0.88
    .:
    0.87
    ._
    0.86
    .–
    0.86
    .(
    0.85
    Activations Density 0.165%

    No Known Activations