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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. 11-RES-JB
    11. 526
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    Explanations

    references to media-related content

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to media influence and public perception

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Hill
    -0.82
    weeney
    -0.78
    owler
    -0.76
     Clancy
    -0.73
     Sweeney
    -0.72
     Slater
    -0.71
     Higgins
    -0.70
     Valkyrie
    -0.69
     Rosen
    -0.69
     Clark
    -0.69
    POSITIVE LOGITS
    make
    1.49
     Make
    1.34
     Made
    1.32
     MAKE
    1.32
    Make
    1.30
    made
    1.30
     make
    1.27
     made
    1.18
    Made
    1.17
     maker
    1.11
    Activations Density 0.171%

    No Known Activations