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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. 11725
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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 @ 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
     avenues
    -0.93
    aughs
    -0.90
     heights
    -0.88
     fronts
    -0.87
    nces
    -0.86
     possibilities
    -0.83
    awatts
    -0.80
     voices
    -0.80
    places
    -0.79
     realities
    -0.78
    POSITIVE LOGITS
     node
    0.85
    worker
    0.85
     device
    0.84
     unit
    0.84
    ocyte
    0.83
     agent
    0.83
    rower
    0.83
    porter
    0.82
     item
    0.81
    reader
    0.81
    Activations Density 0.534%

    No Known Activations