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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. 7-RES-JB
    11. 3991
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    Explanations

    mentions of data collection or research activities

    oai_token-act-pair · gpt-3.5-turbo

    the word "conducted" in various contexts, indicating a focus on surveys and studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Leilan
    -0.78
    esa
    -0.68
    mere
    -0.66
    fighters
    -0.64
    loaded
    -0.61
    liner
    -0.60
    stick
    -0.60
    roads
    -0.59
    ippers
    -0.59
    standing
    -0.59
    POSITIVE LOGITS
    ĸļ
    0.83
    atown
    0.73
    uations
    0.72
     conducted
    0.72
    spection
    0.71
    atform
    0.71
    uated
    0.71
    uate
    0.70
     jointly
    0.70
    rador
    0.69
    Activations Density 0.050%

    No Known Activations