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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. 12093
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    oai_token-act-pair · gpt-3.5-turbo
    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
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    No Comments

    Negative Logits
     Cruise
    -0.59
     minded
    -0.57
    âĤ¬
    -0.53
     Byrne
    -0.53
    使
    -0.52
    wcs
    -0.52
     cradle
    -0.51
     Rath
    -0.51
     DRAG
    -0.51
     Gaga
    -0.51
    POSITIVE LOGITS
    icular
    1.49
    nered
    1.42
    ners
    1.39
    isans
    1.38
    icularly
    1.38
    icle
    1.33
    icles
    1.30
    ially
    1.30
    ridge
    1.30
    icipated
    1.29
    Activations Density 0.025%

    No Known Activations