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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 15234
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    Explanations

    universities and educational institutions

    oai_token-act-pair · gpt-3.5-turbo

    names of universities and colleges

    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
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    No Comments

    Negative Logits
    ?).
    -0.73
     prec
    -0.64
     theirs
    -0.60
     aroused
    -0.59
     ).
    -0.59
     pronounced
    -0.59
    ?,
    -0.59
    )."
    -0.59
    ,...
    -0.58
     weaker
    -0.58
    POSITIVE LOGITS
    £ı
    0.85
    aples
    0.84
    berra
    0.81
    pherd
    0.72
    abases
    0.69
    archives
    0.69
    romeda
    0.69
     âĵĺ
    0.68
    ospel
    0.68
    abama
    0.68
    Activations Density 0.489%

    No Known Activations