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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. 9903
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    âĢİ
    -0.70
    ortium
    -0.68
    Weather
    -0.67
    htaking
    -0.66
     Polit
    -0.64
    cohol
    -0.64
     partName
    -0.63
     <<
    -0.61
     Fiscal
    -0.60
    _-_
    -0.60
    POSITIVE LOGITS
     altogether
    0.81
     herself
    0.71
     anyway
    0.71
     himself
    0.70
     themselves
    0.69
    .'"
    0.68
     elsewhere
    0.65
     oppress
    0.63
    ãĢĤ
    0.62
     cubes
    0.62
    Activations Density 0.883%

    No Known Activations