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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. 18591
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    INDEX
    Explanations

    mentions of individuals being appointed or selected to lead specific organizations or teams

    oai_token-act-pair · gpt-3.5-turbo

    references to leadership roles and important positions

    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
    yss
    -0.86
     favourites
    -0.72
     apologise
    -0.69
     fulfil
    -0.69
     realise
    -0.67
    iership
    -0.66
     lapt
    -0.66
     organise
    -0.66
     recognise
    -0.66
     realised
    -0.63
    POSITIVE LOGITS
    _.
    0.96
    .</
    0.81
     ".
    0.79
    .).
    0.78
    .#
    0.74
     "#
    0.74
    .[
    0.72
    *.
    0.71
    VICE
    0.70
    +.
    0.70
    Activations Density 1.523%

    No Known Activations