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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. 5651
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    Explanations

    expressions of surprise or exclamation

    oai_token-act-pair · gpt-3.5-turbo

    repeated exclamatory expressions of surprise or realization

    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
    -+-+
    -0.75
    ":[{"
    -0.72
    ciplinary
    -0.61
    Reviewed
    -0.60
    resso
    -0.60
    perature
    -0.59
    Roaming
    -0.59
    tein
    -0.58
    display
    -0.57
    20439
    -0.56
    POSITIVE LOGITS
    hhhh
    1.19
     yeah
    1.11
    hhh
    1.11
    hh
    1.10
     yea
    1.01
     hey
    1.01
     dear
    0.98
    anian
    0.91
    oho
    0.88
    yeah
    0.87
    Activations Density 0.019%

    No Known Activations