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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. 6-RES-JB
    11. 24438
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    Explanations

    verbs in the passive voice

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "be" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     borrow
    -0.71
     Borders
    -0.66
    osate
    -0.65
     promise
    -0.65
     roam
    -0.64
     claim
    -0.63
     Prescott
    -0.63
    ipeg
    -0.63
     penetrate
    -0.63
     emerge
    -0.62
    POSITIVE LOGITS
    leeve
    0.96
    hemoth
    0.96
     able
    0.94
    fits
    0.88
    heading
    0.88
    getting
    0.81
     regarded
    0.80
     considered
    0.78
    fit
    0.78
    Done
    0.77
    Activations Density 0.134%

    No Known Activations