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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. 7-RES-JB
    11. 6516
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    Explanations

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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    eers
    -0.86
    maid
    -0.75
    arians
    -0.71
    uba
    -0.71
    netflix
    -0.69
    ants
    -0.69
    arten
    -0.68
    Scotland
    -0.67
    wash
    -0.66
    puff
    -0.65
    POSITIVE LOGITS
     equation
    1.06
     spectrum
    0.96
     globe
    0.89
     continuum
    0.87
     workforce
    0.85
     city
    0.84
     country
    0.84
     same
    0.83
     universe
    0.82
     populace
    0.79
    Activations Density 0.181%

    No Known Activations