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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. 7297
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    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
     Ranch
    -0.67
    apan
    -0.66
     Flavoring
    -0.64
     Parish
    -0.62
    ãĥ¼ãĥĨ
    -0.61
     Thur
    -0.60
     ancestry
    -0.60
    isphere
    -0.59
     Hill
    -0.58
     Heights
    -0.57
    POSITIVE LOGITS
    ancial
    0.88
    ï¸ı
    0.82
    theless
    0.80
    âĪ
    0.79
    *=-
    0.76
    γ
    0.76
    âĺĨ
    0.75
    \":
    0.75
    λ
    0.73
    mining
    0.73
    Activations Density 0.100%

    No Known Activations