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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. 4-RES-JB
    6. 8982
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms that indicate limitations or boundaries

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

    No Comments

    Negative Logits
    FORE
    -0.82
    ashington
    -0.82
    git
    -0.72
    rious
    -0.69
    orah
    -0.69
     Samoa
    -0.69
    swick
    -0.68
    story
    -0.66
    Sham
    -0.66
    tom
    -0.65
    POSITIVE LOGITS
    ively
    0.99
     restricting
    0.97
     restricts
    0.97
     restrictive
    0.91
    ricted
    0.89
     restrictions
    0.88
     restriction
    0.84
     restricted
    0.84
     prohibited
    0.83
     inhib
    0.83
    Activations Density 0.027%

    No Known Activations