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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. 4960
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    Explanations

    references to election polls

    oai_token-act-pair · gpt-3.5-turbo

    references to election polls and their results

    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
     Flavoring
    -1.05
    complex
    -0.83
    ivas
    -0.73
    Merit
    -0.73
    tein
    -0.72
    EngineDebug
    -0.72
    ĨĴ
    -0.71
    minecraft
    -0.69
    Tang
    -0.69
    Interstitial
    -0.69
    POSITIVE LOGITS
    sters
    1.02
     polls
    0.99
     polling
    0.94
    hare
    0.89
    ster
    0.83
     wat
    0.81
    hel
    0.81
    caster
    0.78
     booths
    0.78
    uting
    0.78
    Activations Density 0.032%

    No Known Activations