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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. 8-RES-JB
    11. 777
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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     halfway
    -0.76
     reckoning
    -0.72
     SAM
    -0.69
     playbook
    -0.64
     partial
    -0.64
     Valhalla
    -0.61
     seiz
    -0.61
     ash
    -0.60
     sparse
    -0.60
     collar
    -0.60
    POSITIVE LOGITS
    âĢ¦]
    1.78
    ...]
    1.65
    english
    1.32
    REDACTED
    1.15
    sic
    1.03
    !]
    1.00
    email
    0.99
    %]
    0.97
    ?]
    0.96
    ']
    0.95
    Activations Density 0.026%

    No Known Activations