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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16902
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    Explanations

    information related to investigations or claims

    oai_token-act-pair · gpt-3.5-turbo

    instances of legal or investigative scenarios involving claims and accusations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    iku
    -0.55
    iona
    -0.55
     bask
    -0.54
    ggles
    -0.53
     gri
    -0.53
    uitive
    -0.53
     incent
    -0.52
     partName
    -0.52
    auntlet
    -0.51
    vironments
    -0.50
    POSITIVE LOGITS
     inappropriately
    0.71
     prostitutes
    0.70
     Kislyak
    0.68
    nikov
    0.66
     illegally
    0.66
     improperly
    0.66
     prank
    0.65
     paed
    0.64
     Paddock
    0.63
     Bulgar
    0.63
    Activations Density 1.592%

    No Known Activations