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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. 19771
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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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    Negative Logits
     Staten
    -0.80
     decomp
    -0.78
     couch
    -0.75
     Appalachian
    -0.75
     Manhattan
    -0.72
     variance
    -0.72
     Moose
    -0.72
     Morse
    -0.71
     slate
    -0.71
     paperback
    -0.69
    POSITIVE LOGITS
    Į
    1.20
    ı
    1.19
    ¬
    1.19
    £
    1.17
    ¹
    1.17
    º
    1.16
    į
    1.14
    ²
    1.13
    ¿
    1.12
    Ĥ
    1.12
    Activations Density 0.346%

    No Known Activations