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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. 3727
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    Explanations

    phrases related to a specific person or player

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or pronouns denoting personal actions and roles in a narrative

    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
     Wem
    -0.72
     Sharon
    -0.71
     Wendy
    -0.70
     Lieutenant
    -0.69
     Gloria
    -0.69
     Scriptures
    -0.68
     Nath
    -0.68
     quoting
    -0.68
     Sinai
    -0.67
     Simpl
    -0.65
    POSITIVE LOGITS
     teammates
    1.14
     teammate
    1.04
     comeback
    0.90
     plays
    0.88
     athleticism
    0.85
    ESPN
    0.85
     athlet
    0.85
     batted
    0.85
     league
    0.85
    Football
    0.84
    Activations Density 0.254%

    No Known Activations