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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. 6-RES-JB
    6. 16188
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    INDEX
    Explanations

    references to future plans or strategies

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "plans" in various 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
     ILCS
    -0.87
    Cause
    -0.74
     Stain
    -0.72
     Temper
    -0.71
    Interstitial
    -0.70
    mint
    -0.69
    INTON
    -0.69
    aud
    -0.63
    inas
    -0.61
    Naz
    -0.61
    POSITIVE LOGITS
    etary
    0.85
     Parenthood
    0.83
    escape
    0.82
    isphere
    0.81
    emaker
    0.78
    creen
    0.78
     obs
    0.78
     ahead
    0.77
    etting
    0.77
    ets
    0.77
    Activations Density 0.040%

    No Known Activations