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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. 0-RES-JB
    11. 2254
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    Explanations

    specific locations or points of interest

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "where."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hired
    -0.55
     base
    -0.55
     wont
    -0.54
     sent
    -0.54
     himself
    -0.54
     sincerely
    -0.53
     Jr
    -0.53
     already
    -0.53
     en
    -0.53
     lo
    -0.52
    POSITIVE LOGITS
    where
    4.22
    WHERE
    2.09
    Where
    1.82
     where
    1.58
    when
    1.49
    how
    1.46
     Where
    1.43
    which
    1.37
    who
    1.32
     WHERE
    1.31
    Activations Density 0.006%

    No Known Activations