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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. 4946
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    Explanations

    phrases related to academic studies or research

    oai_token-act-pair · gpt-3.5-turbo

    references to academic studies or research findings

    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
     ILCS
    -0.67
     fragmented
    -0.63
     municip
    -0.62
     Gleaming
    -0.62
    cffff
    -0.61
    ailability
    -0.59
    interstitial
    -0.59
    cream
    -0.59
    AAA
    -0.59
     eff
    -0.56
    POSITIVE LOGITS
    study
    1.09
    Study
    1.05
     study
    0.99
    udo
    0.89
     Study
    0.89
    books
    0.81
     psychologists
    0.75
    ador
    0.75
     psychologist
    0.74
    Researchers
    0.73
    Activations Density 0.026%

    No Known Activations