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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. 7343
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    oai_token-act-pair · gpt-3.5-turbo

    contact information and phone numbers

    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
     stacking
    -0.78
    cock
    -0.70
    skirts
    -0.68
    iband
    -0.66
    skinned
    -0.65
    rows
    -0.60
     stuffing
    -0.60
     culminating
    -0.60
    semb
    -0.59
     stacks
    -0.59
    POSITIVE LOGITS
    GH
    0.86
     Amph
    0.79
    éĹĺ
    0.78
    Alert
    0.76
     Toll
    0.76
     toll
    0.76
    Email
    0.75
    Fax
    0.73
     Nept
    0.72
    quit
    0.68
    Activations Density 0.042%

    No Known Activations