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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. 393
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    Explanations

    technical terms related to products or projects

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various tangible items, objects, or categories across different contexts

    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
    à¨
    -0.72
    à©
    -0.68
    POSE
    -0.67
    BUG
    -0.67
    WATCH
    -0.64
    Synopsis
    -0.63
    psy
    -0.63
    ABLE
    -0.62
     diversion
    -0.61
    à¤
    -0.61
    POSITIVE LOGITS
    paces
    1.21
    hips
    1.19
    chool
    1.15
    hip
    1.12
    cius
    1.04
    hops
    1.02
    etter
    1.01
    heet
    1.00
    uggest
    0.99
    poons
    0.96
    Activations Density 0.522%

    No Known Activations