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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. 5018
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    Explanations

    phrases related to events or activities happening on a regular basis

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "regularly."

    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
    elo
    -0.77
    bern
    -0.77
    lda
    -0.71
    hemy
    -0.71
    toc
    -0.69
    schild
    -0.66
    jri
    -0.66
    hammad
    -0.66
    emetery
    -0.66
    IDA
    -0.66
    POSITIVE LOGITS
     flyer
    0.96
     spaced
    0.94
     Asked
    0.93
     interrupted
    0.83
     thereafter
    0.81
     overfl
    0.79
     interrupt
    0.78
     intervals
    0.77
     occurrences
    0.76
    theless
    0.76
    Activations Density 0.080%

    No Known Activations