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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. 8-RES-JB
    11. 9821
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    Explanations

    quotations with a speaker and a specific action

    oai_token-act-pair · gpt-3.5-turbo

    snippets of quoted speech or dialogue in a narrative

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     plagiar
    -0.77
    2020
    -0.73
    idelines
    -0.73
     treaties
    -0.70
     nominees
    -0.70
     optimal
    -0.69
     scholars
    -0.68
     prizes
    -0.67
     blacklist
    -0.66
     instit
    -0.65
    POSITIVE LOGITS
     sob
    0.99
     remembers
    0.89
    ggy
    0.81
     recalling
    0.80
     chuck
    0.78
     recalls
    0.77
     yelled
    0.75
     homeowner
    0.75
     remembering
    0.74
     choked
    0.73
    Activations Density 0.502%

    No Known Activations