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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. 11-RES-JB
    11. 131
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    oai_token-act-pair · gpt-3.5-turbo

    instances of corporate or institutional names and references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĸļ
    -0.70
    usercontent
    -0.62
     Bethlehem
    -0.61
     Bronx
    -0.61
    owship
    -0.58
     Starship
    -0.56
     regress
    -0.56
     retri
    -0.55
     Wonderland
    -0.55
    ailability
    -0.55
    POSITIVE LOGITS
    Ĩ
    0.74
    ë
    0.71
    avage
    0.68
    efer
    0.68
    animous
    0.68
    ALLY
    0.67
    ifacts
    0.66
    Ń
    0.65
    uous
    0.64
    cially
    0.64
    Activations Density 0.206%

    No Known Activations