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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. 11538
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    Explanations

    dates and events

    oai_token-act-pair · gpt-3.5-turbo

    events or dates related to significant occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     previous
    -0.60
     latter
    -0.59
     positives
    -0.57
     initially
    -0.56
     stances
    -0.55
     notable
    -0.55
     reconc
    -0.54
    okingly
    -0.54
     earlier
    -0.53
    sequently
    -0.53
    POSITIVE LOGITS
     goddamn
    0.79
    âĢ
    0.76
    "—
    0.74
    ——
    0.74
     ..."
    0.70
    .''
    0.69
    —-
    0.69
    !'"
    0.69
    !!"
    0.69
     trillions
    0.68
    Activations Density 1.253%

    No Known Activations