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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. 1-RES-JB
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    Explanations

    terms related to systematic actions or processes

    oai_token-act-pair · gpt-3.5-turbo

    references to systematic issues or patterns of behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hawk
    -0.86
    gets
    -0.80
    mac
    -0.80
    Stars
    -0.79
    Redd
    -0.78
    hawks
    -0.78
    boards
    -0.77
    cer
    -0.74
    rb
    -0.72
    Phones
    -0.72
    POSITIVE LOGITS
     systematic
    1.17
     systematically
    0.87
    urally
    0.86
    itarian
    0.85
     rul
    0.78
     linkage
    0.74
    icity
    0.73
    itatively
    0.73
    accompan
    0.73
    krit
    0.73
    Activations Density 0.010%

    No Known Activations