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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. 18631
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    calls to action related to reading or continuing content

    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
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    Negative Logits
     bin
    -0.75
     picnic
    -0.74
    venge
    -0.65
    »Ĵ
    -0.65
    pron
    -0.65
     gems
    -0.64
    estic
    -0.62
     restitution
    -0.61
     Gleaming
    -0.60
     consolation
    -0.59
    POSITIVE LOGITS
     Below
    0.96
    enza
    0.90
     ARTICLE
    0.79
    Page
    0.79
     Expand
    0.78
     Clause
    0.76
     TAMADRA
    0.75
    ences
    0.73
    isodes
    0.70
    ...]
    0.69
    Activations Density 0.025%

    No Known Activations