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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. 0-RES-JB
    11. 15866
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    Explanations

    mentions of specific people's names

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "ould" and occurrences of disclaimers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Destroyer
    -0.79
     Myr
    -0.76
     Jersey
    -0.73
    essen
    -0.72
     Roose
    -0.70
    Miss
    -0.67
    Destroy
    -0.66
    Via
    -0.65
    driving
    -0.63
     Ned
    -0.62
    POSITIVE LOGITS
    ould
    4.01
    OSH
    1.67
    ilst
    1.38
    oulder
    1.37
    OULD
    1.27
    ovan
    1.23
    llah
    1.20
     Gould
    1.02
    dl
    1.00
    auld
    0.98
    Activations Density 0.042%

    No Known Activations