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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. 12771
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    Explanations

    phrases or questions questioning or expressing concern about a particular issue

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express negation or questions about responsibilities and actions

    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
    aptic
    -0.76
    ENE
    -0.72
    archy
    -0.72
    okingly
    -0.69
    zer
    -0.68
     Finder
    -0.68
     Appears
    -0.68
    adel
    -0.67
    rompt
    -0.67
    onym
    -0.66
    POSITIVE LOGITS
     adequately
    1.10
     adequate
    0.78
     properly
    0.77
     heed
    0.74
     anymore
    0.73
    unda
    0.72
     timely
    0.71
     acknow
    0.71
     bothered
    0.71
     mathemat
    0.71
    Activations Density 0.788%

    No Known Activations