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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. 18902
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and addresses

    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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    No Comments

    Negative Logits
    anson
    -0.73
    brates
    -0.67
    oglobin
    -0.65
    zsche
    -0.65
    oleon
    -0.65
    xon
    -0.63
    eer
    -0.61
    ronics
    -0.60
    aeus
    -0.59
    verty
    -0.59
    POSITIVE LOGITS
    busters
    0.91
    aded
    0.87
    walk
    0.80
    quote
    0.79
    aders
    0.76
    jer
    0.74
     radius
    0.74
     southwest
    0.73
     sidewalk
    0.71
     plaza
    0.69
    Activations Density 0.016%

    No Known Activations