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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. 8855
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    INDEX
    Explanations

    comparative expressions indicating varying degrees of quality or success

    oai_token-act-pair · gpt-3.5-turbo

    evaluations or descriptors of quality regarding experiences or situations

    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
    kefeller
    -0.71
    aternity
    -0.69
     favourite
    -0.63
     Pag
    -0.62
     Prin
    -0.61
    omed
    -0.59
     vacated
    -0.59
    quit
    -0.58
    hao
    -0.57
    wide
    -0.56
    POSITIVE LOGITS
     glance
    0.91
    REDACTED
    0.75
     blush
    0.73
    arb
    0.73
    intention
    0.70
     marginally
    0.69
    ãĥīãĥ©ãĤ´ãĥ³
    0.68
    nesota
    0.67
     moments
    0.66
    aic
    0.65
    Activations Density 0.026%

    No Known Activations