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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. 10-RES-JB
    6. 24137
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    Explanations

    sequences indicating a continuous streak or repetition of an event or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of "years" or "seasons" and their occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lication
    -0.76
    =(
    -0.71
    itive
    -0.65
    antry
    -0.65
    izabeth
    -0.62
     brim
    -0.61
    iny
    -0.60
    mund
    -0.60
     FANTASY
    -0.59
    enhagen
    -0.58
    POSITIVE LOGITS
     succession
    0.93
     row
    0.93
     successive
    0.61
    KA
    0.60
    Lex
    0.60
    Row
    0.60
    series
    0.59
     consecutive
    0.59
    bra
    0.58
     Row
    0.57
    Activations Density 0.069%

    No Known Activations