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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. 10-RES-JB
    11. 9313
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    INDEX
    Explanations

    phrases indicating decision-making or consideration of options

    oai_token-act-pair · gpt-3.5-turbo

    expressions of thought or consideration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ROR
    -0.66
    Newsletter
    -0.62
     Himself
    -0.60
     ILCS
    -0.59
    inatory
    -0.58
    RAW
    -0.57
    ptoms
    -0.57
    elfare
    -0.57
    tty
    -0.56
    ippy
    -0.55
    POSITIVE LOGITS
     it
    0.83
     adding
    0.76
     we
    0.76
     prudent
    0.72
     upgrading
    0.71
     bookmark
    0.70
     there
    0.69
    phas
    0.69
    sure
    0.68
     advisable
    0.68
    Activations Density 0.186%

    No Known Activations