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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. 9-RES-JB
    11. 4732
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VP
    -0.73
    quote
    -0.71
    cour
    -0.70
    quet
    -0.70
    gage
    -0.69
    sen
    -0.64
    ña
    -0.64
    cussion
    -0.64
    redict
    -0.64
    yip
    -0.63
    POSITIVE LOGITS
    ibility
    0.83
     unsus
    0.78
     anew
    0.76
     flaws
    0.73
     truths
    0.70
     Primordial
    0.67
     treasures
    0.67
    Discover
    0.66
    ibles
    0.66
    ibly
    0.66
    Activations Density 0.057%

    No Known Activations