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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. 6-RES-JB
    11. 23785
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    Explanations

    specific details or pieces of information in a longer text

    oai_token-act-pair · gpt-3.5-turbo

    key details and significant events in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     policymakers
    -0.66
    BIP
    -0.58
    biased
    -0.57
    safety
    -0.57
     CRC
    -0.56
     Marketplace
    -0.55
     Transparency
    -0.54
     upfront
    -0.54
    Leaks
    -0.53
     Prism
    -0.52
    POSITIVE LOGITS
    çĶ°
    0.81
     sings
    0.70
     slang
    0.70
     denotes
    0.69
    ãĥĬ
    0.63
     fame
    0.63
     pts
    0.62
     initials
    0.62
     verse
    0.61
     salute
    0.60
    Activations Density 1.888%

    No Known Activations