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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. 14366
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    Explanations

    expressions of strong emotions

    oai_token-act-pair · gpt-3.5-turbo

    emotional expressions and interactions among characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
    iterranean
    -0.69
    qua
    -0.67
    ormal
    -0.66
    actionDate
    -0.66
    ullivan
    -0.64
    olicy
    -0.64
    ezvous
    -0.64
    onnaissance
    -0.63
    idious
    -0.63
    htaking
    -0.62
    POSITIVE LOGITS
     louder
    1.17
     loud
    1.10
     loudly
    1.04
     inco
    0.95
     uncontroll
    0.90
     helpless
    0.89
     aloud
    0.87
     agony
    0.86
     hyster
    0.85
     hysterical
    0.82
    Activations Density 0.313%

    No Known Activations