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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. 1-RES-JB
    11. 4812
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    Explanations

    female names in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or characters, particularly those with repeated references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     aspir
    -0.67
    ocial
    -0.67
     borrowing
    -0.66
     sled
    -0.63
     projecting
    -0.63
    ized
    -0.62
     stolen
    -0.62
     realistic
    -0.62
     borrowed
    -0.61
    NRS
    -0.61
    POSITIVE LOGITS
    nce
    1.45
    theless
    1.05
    nces
    0.97
    lihood
    0.92
    sburg
    0.91
    llor
    0.90
    ktop
    0.88
    teness
    0.86
    ment
    0.83
    rences
    0.83
    Activations Density 0.011%

    No Known Activations