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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. 6908
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    oai_token-act-pair · gpt-3.5-turbo
    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
     mathemat
    -0.68
    ģĸ
    -0.68
    ngth
    -0.65
     gratification
    -0.64
    icka
    -0.59
     resusc
    -0.59
     merry
    -0.58
    cffffcc
    -0.58
     buildup
    -0.58
     hoop
    -0.57
    POSITIVE LOGITS
     not
    1.16
    not
    1.15
    Not
    1.06
     Not
    0.92
     NOT
    0.90
    é¾įå
    0.76
    acular
    0.71
    act
    0.69
    å¦
    0.68
    actor
    0.67
    Activations Density 0.257%

    No Known Activations