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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. 1-RES-JB
    11. 2551
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    Explanations

    references to structured physical activities, particularly related to running

    oai_token-act-pair · gpt-3.5-turbo

    the pronoun "We" indicating collective subjectivity or inclusivity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    éŃĶ
    -0.79
    ION
    -0.71
     Helsinki
    -0.67
     Benefit
    -0.66
    Redditor
    -0.66
    ãĥīãĥ©ãĤ´ãĥ³
    -0.66
    Claim
    -0.65
    Population
    -0.64
     Ended
    -0.63
    Study
    -0.63
    POSITIVE LOGITS
    agram
    0.79
    phies
    0.75
    nam
    0.72
    pec
    0.68
    icky
    0.67
    zon
    0.67
    icious
    0.66
    ategor
    0.64
    nikov
    0.64
    enko
    0.63
    Activations Density 0.000%

    No Known Activations