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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. 9-RES-JB
    11. 22935
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    Explanations

    references to people's ages

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "was [number]"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.75
     largeDownload
    -0.70
    beit
    -0.68
    xxxxxxxx
    -0.66
    FU
    -0.64
     override
    -0.63
    #$#$
    -0.63
    ighed
    -0.62
    omial
    -0.62
    -------------
    -0.61
    POSITIVE LOGITS
     bitten
    0.95
     younger
    0.91
     unable
    0.87
     able
    0.86
     confronted
    0.83
     tempted
    0.82
     nearing
    0.81
     hospitalized
    0.80
     supposed
    0.79
     subjected
    0.78
    Activations Density 0.101%

    No Known Activations