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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. 7310
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    specific times of events

    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
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    No Comments

    Negative Logits
     authority
    -0.67
    olis
    -0.64
     envelope
    -0.62
     arms
    -0.62
     outright
    -0.62
     lov
    -0.61
    ospace
    -0.61
    quished
    -0.61
     abuser
    -0.61
    swers
    -0.60
    POSITIVE LOGITS
    00
    1.29
    30
    1.23
    59
    1.20
    45
    1.14
    50
    1.13
    05
    1.11
    09
    1.11
    08
    1.09
    58
    1.09
    53
    1.08
    Activations Density 0.038%

    No Known Activations