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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. 14519
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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
     reper
    -0.60
     theirs
    -0.58
     eleph
    -0.58
     circulation
    -0.58
     interven
    -0.56
     amnesty
    -0.55
     initi
    -0.55
     obligation
    -0.55
     embargo
    -0.55
    atively
    -0.54
    POSITIVE LOGITS
    Untitled
    1.14
    WASHINGTON
    1.13
    Abstract
    1.10
    Description
    1.09
    CLOSE
    1.08
    Overview
    1.02
    SAN
    1.00
    Breaking
    0.99
    CTV
    0.99
    Welcome
    0.98
    Activations Density 0.133%

    No Known Activations