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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. 9284
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    Explanations

    quantitative data related to statistics, averages, and comparisons

    oai_token-act-pair · gpt-3.5-turbo

    statistical data points and comparisons related to time or metrics across different entities

    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
    iHUD
    -0.80
    ItemThumbnailImage
    -0.74
    Stretch
    -0.74
    UV
    -0.73
    unning
    -0.71
    zanne
    -0.65
    scar
    -0.64
    wcsstore
    -0.64
    ensitive
    -0.64
    Maria
    -0.64
    POSITIVE LOGITS
     each
    1.28
     respondents
    0.98
     various
    0.90
     different
    0.90
     households
    0.84
    each
    0.82
     respective
    0.81
     all
    0.78
     individual
    0.78
     Selected
    0.77
    Activations Density 0.311%

    No Known Activations