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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. 10-RES-JB
    11. 5344
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    `.
    -0.83
    .[
    -0.82
    .:
    -0.78
    .","
    -0.77
    .''.
    -0.77
    .�
    -0.75
    ."[
    -0.74
    also
    -0.74
    .''
    -0.71
    .(
    -0.71
    POSITIVE LOGITS
     bloated
    0.87
     endlessly
    0.85
     crap
    0.83
     crappy
    0.83
     shitty
    0.82
     sweaty
    0.81
     bullshit
    0.80
     nerds
    0.80
     dudes
    0.80
     obsess
    0.80
    Activations Density 0.925%

    No Known Activations