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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 4088
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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
    Not in Any Lists

    No Comments

    Negative Logits
    orge
    -0.66
    Rated
    -0.64
    bro
    -0.59
     Miko
    -0.58
    AAA
    -0.57
    gettable
    -0.57
    etheless
    -0.55
    essor
    -0.54
    stood
    -0.54
    Stage
    -0.53
    POSITIVE LOGITS
     lest
    1.34
     hoping
    1.08
     fearing
    1.07
    avoid
    0.95
     precaution
    0.94
     hopes
    0.89
     because
    0.87
     attempt
    0.86
     ensuring
    0.83
     appease
    0.83
    Activations Density 0.883%

    No Known Activations