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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. 19881
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to rankings and evaluations

    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
    displayText
    -0.86
    Phys
    -0.80
    SPONSORED
    -0.76
    ordinary
    -0.75
    £ı
    -0.74
    externalActionCode
    -0.72
    ãĤ±
    -0.67
    soever
    -0.67
    Court
    -0.66
    MAP
    -0.65
    POSITIVE LOGITS
    phas
    1.03
     him
    0.75
     finalists
    0.74
     them
    0.74
     Finish
    0.69
     Kinnikuman
    0.68
     Precision
    0.68
    phis
    0.64
    ruby
    0.63
     Preferred
    0.63
    Activations Density 0.302%

    No Known Activations