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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. 13923
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
     metic
    -0.58
     notor
    -0.57
     earthqu
    -0.54
     entreprene
    -0.54
     tremend
    -0.52
     UNITED
    -0.51
     pione
    -0.51
     undermin
    -0.51
     reluct
    -0.51
     eleph
    -0.49
    POSITIVE LOGITS
    -
    1.84
    -)
    1.41
    -.
    1.37
    -[
    1.33
    -'
    1.33
    -(
    1.29
    -,
    1.29
    âĢij
    1.22
    -$
    1.18
    %-
    1.16
    Activations Density 0.251%

    No Known Activations