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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. 4466
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    Explanations

    comparisons or contrasting statements

    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
    reon
    -0.56
    rely
    -0.53
    ftime
    -0.53
    reddit
    -0.52
    ree
    -0.49
    else
    -0.49
     referen
    -0.48
    restricted
    -0.47
     Secondly
    -0.47
    obbies
    -0.47
    POSITIVE LOGITS
     destroying
    0.53
     retrieving
    0.53
    AGES
    0.50
     fixing
    0.49
     hand
    0.48
     alleging
    0.47
    oning
    0.47
     seizing
    0.47
    eye
    0.47
     harming
    0.46
    Activations Density 0.318%

    No Known Activations