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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. 7774
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    Explanations

    titles or rankings denoting superlatives or achievements

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with rankings or distinctions in various categories

    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
    tnc
    -0.86
    rocal
    -0.85
    othal
    -0.73
    actionDate
    -0.73
    EngineDebug
    -0.70
    ritz
    -0.68
    pered
    -0.66
    ishable
    -0.66
    okane
    -0.65
    rontal
    -0.64
    POSITIVE LOGITS
     EVER
    1.15
     ever
    1.13
     imaginable
    1.09
    ever
    0.96
    Ever
    0.80
     Ever
    0.78
     alive
    0.75
     (>
    0.74
     anywhere
    0.73
     earners
    0.71
    Activations Density 0.248%

    No Known Activations