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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. 8961
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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 @ 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
    cius
    -0.77
    upt
    -0.68
    cul
    -0.64
    seys
    -0.59
    olitan
    -0.59
     Circle
    -0.57
    raphic
    -0.56
    ffe
    -0.56
    achu
    -0.55
    nin
    -0.55
    POSITIVE LOGITS
     reflected
    0.78
     gladly
    0.74
     outwe
    0.73
    ItemTracker
    0.73
     accompanied
    0.73
     multiplied
    0.72
     housed
    0.70
     echoed
    0.70
     persisted
    0.70
     contrasted
    0.69
    Activations Density 0.372%

    No Known Activations