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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. 11-RES-JB
    11. 21498
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    Explanations

    references to drafts of documents or text

    oai_token-act-pair · gpt-3.5-turbo

    references to legislative drafts or proposals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rian
    -0.79
    rians
    -0.78
    ecause
    -0.76
    tics
    -0.70
    Ĭ±
    -0.70
    ornings
    -0.69
    cellence
    -0.69
    zzi
    -0.68
    undai
    -0.67
    @@@@
    -0.67
    POSITIVE LOGITS
    smanship
    1.33
     draft
    0.92
    Kings
    0.85
     drafts
    0.81
     outline
    0.81
     constitution
    0.77
     guidelines
    0.77
     manuscript
    0.75
     directive
    0.75
     dod
    0.74
    Activations Density 0.051%

    No Known Activations