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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. 7-RES-JB
    11. 4966
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    Explanations

    phrases or sentences prompting action or engagement with an implied invitation to join or participate in something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "come."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raid
    -0.93
    orsi
    -0.77
     tiss
    -0.76
    hedon
    -0.76
    icon
    -0.74
    apo
    -0.74
    orthodox
    -0.73
    aceutical
    -0.73
    guided
    -0.73
    visors
    -0.71
    POSITIVE LOGITS
     hither
    0.90
     forth
    0.87
    backs
    0.77
     undone
    0.76
     WRITE
    0.72
     pouring
    0.71
     Forth
    0.70
     attractions
    0.69
    leon
    0.67
     closer
    0.66
    Activations Density 0.050%

    No Known Activations