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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. 4-RES-JB
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    Explanations

    the name "Leonard"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Leonard"

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

    No Comments

    Negative Logits
    skirts
    -0.82
    manship
    -0.74
    76561
    -0.69
    exempt
    -0.69
    ħĭ
    -0.69
    tch
    -0.69
    illance
    -0.69
    ñ
    -0.67
    fare
    -0.65
    eden
    -0.65
    POSITIVE LOGITS
     Leonard
    1.12
     Cohen
    0.88
     Lauder
    0.87
    ergic
    0.82
     Bernstein
    0.80
     Strauss
    0.80
    wine
    0.78
    ency
    0.77
    zman
    0.76
     Nim
    0.76
    Activations Density 0.006%

    No Known Activations