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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. 10-RES-JB
    11. 4396
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    Explanations

    contractions and discussions related to blame and approval

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to knowledge and awareness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     and
    -0.69
     etc
    -0.62
    catentry
    -0.59
     AND
    -0.53
     reciprocal
    -0.53
     various
    -0.52
     &
    -0.51
     essence
    -0.51
     collabor
    -0.50
     both
    -0.50
    POSITIVE LOGITS
     anymore
    1.40
     nor
    1.32
    nor
    1.16
    unless
    1.11
     slightest
    1.03
     anytime
    0.94
     whatsoever
    0.90
     unless
    0.85
     any
    0.84
    til
    0.83
    Activations Density 0.826%

    No Known Activations