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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. 7-RES-JB
    11. 11760
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    symbolic representations or markers in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eness
    -0.81
    inelli
    -0.80
    kinson
    -0.69
     misunder
    -0.67
    senal
    -0.65
    kson
    -0.64
    ebin
    -0.64
    adelphia
    -0.63
    inous
    -0.63
    ullah
    -0.63
    POSITIVE LOGITS
    âĢ¢âĢ¢
    1.00
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.87
    SK
    0.84
    ERROR
    0.83
    execute
    0.81
    laughs
    0.80
    actual
    0.77
    Insert
    0.77
    shows
    0.76
    NOT
    0.75
    Activations Density 0.020%

    No Known Activations