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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. 24367
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    Explanations

    names of individuals involved in various activities or events

    oai_token-act-pair · gpt-3.5-turbo

    names of prominent individuals or characters

    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
    awks
    -0.66
    rals
    -0.64
    raq
    -0.64
    manent
    -0.63
    ories
    -0.63
    Load
    -0.63
    ĭ
    -0.63
    Els
    -0.62
    wolves
    -0.62
    ãĥ¥
    -0.61
    POSITIVE LOGITS
     Sr
    1.25
     Jr
    1.17
     III
    0.98
     aka
    0.95
     Returns
    0.87
     Presents
    0.86
     QC
    0.86
    ovich
    0.85
     Productions
    0.85
     greets
    0.79
    Activations Density 0.185%

    No Known Activations