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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. 8-RES-JB
    6. 3654
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    INDEX
    Explanations

    phrases indicating lack of association or connection between different entities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing causation or relationships between actions

    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
    Not in Any Lists

    No Comments

    Negative Logits
     feasibility
    -0.62
    riger
    -0.60
    esthes
    -0.59
     holiest
    -0.57
    ements
    -0.56
    cember
    -0.56
     Gust
    -0.54
    hooting
    -0.53
    aniel
    -0.53
    res
    -0.52
    POSITIVE LOGITS
     contribute
    0.76
     celebrate
    0.74
     differentiate
    0.73
    speak
    0.73
     spare
    0.73
     prove
    0.73
    "></
    0.72
     satisfy
    0.70
     settle
    0.70
    ensed
    0.69
    Activations Density 0.061%

    No Known Activations