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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 4672
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    Explanations

    terms related to crime and punishment

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to social dynamics and interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     (?,
    -0.53
    orem
    -0.49
    .",
    -0.49
    ukong
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    venants
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    owered
    -0.44
    yssey
    -0.44
    bilt
    -0.43
    arij
    -0.43
    aturday
    -0.43
    POSITIVE LOGITS
    !).
    0.58
    ?).
    0.51
    ).[
    0.51
    )?
    0.50
    )—
    0.48
     phr
    0.45
    !)
    0.44
    )[
    0.44
    -)
    0.43
    ).
    0.43
    Activations Density 3.321%

    No Known Activations