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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. 5-RES-JB
    6. 6978
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    Explanations

    phrases or sentences related to prevention or prohibition

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "from" indicating origin or cause in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     partName
    -0.78
    quickShipAvailable
    -0.74
    rites
    -0.73
    hello
    -0.71
    uid
    -0.70
    ixtures
    -0.70
    tons
    -0.70
    ratulations
    -0.70
    oy
    -0.68
    tops
    -0.67
    POSITIVE LOGITS
     afar
    0.87
     scrimmage
    0.85
     accessing
    0.78
     capture
    0.72
     extrad
    0.69
     manufacture
    0.68
     scratch
    0.68
     entering
    0.68
     exert
    0.67
     anywhere
    0.67
    Activations Density 0.063%

    No Known Activations