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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    mentions of the name "Marc"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Marc"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HAM
    -0.76
     ferry
    -0.73
     worm
    -0.73
    ye
    -0.72
    emouth
    -0.71
    ssh
    -0.68
    hift
    -0.68
    YE
    -0.68
     ultrasound
    -0.66
    tle
    -0.66
    POSITIVE LOGITS
     Marc
    3.53
    Marc
    2.83
     Marcel
    1.41
     Marcos
    1.40
     Pierre
    1.39
     Philippe
    1.33
     Denis
    1.32
     Michel
    1.22
     Rudy
    1.21
    Pierre
    1.21
    Activations Density 0.023%

    No Known Activations