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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. 8-RES-JB
    11. 23453
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    Explanations

    statistical and numerical data related to views, traffic, and engagement

    oai_token-act-pair · gpt-3.5-turbo

    metrics related to website performance and engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Alz
    -0.88
     fug
    -0.74
     Quart
    -0.72
     diplom
    -0.71
     reformed
    -0.69
     remedies
    -0.68
     insol
    -0.67
    rade
    -0.67
    ropri
    -0.65
    ulic
    -0.64
    POSITIVE LOGITS
    hare
    0.94
    hip
    0.93
    Reviewer
    0.88
     viewership
    0.87
     downloads
    0.86
    iences
    0.86
     subscriptions
    0.80
     streams
    0.78
    ience
    0.76
    atform
    0.76
    Activations Density 0.235%

    No Known Activations