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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. 11242
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    Explanations

    hexadecimal codes, numerical values, and measurements or quantities

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly those related to statistics or measurements

    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
    usalem
    -0.81
    assies
    -0.79
    undai
    -0.76
     tradem
    -0.74
    bered
    -0.72
    aneous
    -0.71
     externalToEVAOnly
    -0.71
     millenn
    -0.70
     displacement
    -0.69
    ewitness
    -0.66
    POSITIVE LOGITS
    st
    0.99
    eous
    0.84
    eus
    0.81
    в
    0.78
    heim
    0.77
    EngineDebug
    0.77
    ĨĴ
    0.75
    ical
    0.73
    ĪĴ
    0.73
    0100
    0.73
    Activations Density 0.046%

    No Known Activations