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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. 3322
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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 @ 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
    assemb
    -0.70
    foreseen
    -0.69
     ILCS
    -0.69
    ordinate
    -0.64
    venge
    -0.61
     vulner
    -0.60
    ãĥ£
    -0.60
    inia
    -0.59
     swall
    -0.58
     somet
    -0.58
    POSITIVE LOGITS
     sentiments
    0.76
     notion
    0.72
     outright
    0.68
     Ridley
    0.67
     assumption
    0.66
     drum
    0.66
     notions
    0.65
     earlier
    0.65
     misconception
    0.65
     altogether
    0.64
    Activations Density 0.257%

    No Known Activations