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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. 11-RES-JB
    6. 2999
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    INDEX
    Explanations

    instances of words related to performance or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "in" followed by various contexts or descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Concern
    -0.72
    ARE
    -0.70
    rose
    -0.69
    ornia
    -0.67
    {
    -0.67
    bone
    -0.67
    offer
    -0.67
    etus
    -0.66
    baum
    -0.66
    âĢİ
    -0.66
    POSITIVE LOGITS
     tournaments
    0.92
     scrim
    0.91
     terms
    0.87
     spite
    0.86
    ventory
    0.86
     outings
    0.84
     comparison
    0.84
     interviews
    0.83
     transitions
    0.81
     adversity
    0.81
    Activations Density 0.272%

    No Known Activations