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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 6388
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    the word "where" and its various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ³³³³³³³³
    -0.75
    yi
    -0.67
    ³³³
    -0.66
    rolet
    -0.62
     spect
    -0.62
    sat
    -0.61
     Spect
    -0.61
    agers
    -0.60
    ets
    -0.60
    asts
    -0.59
    POSITIVE LOGITS
    upon
    1.17
    soever
    1.12
    abouts
    1.10
    fore
    0.95
    abama
    0.72
    ilib
    0.71
    where
    0.71
    ver
    0.70
    iago
    0.69
    earch
    0.68
    Activations Density 0.054%

    No Known Activations