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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the word "Rain"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Rain" in 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
    umbn
    -0.93
    tein
    -0.87
    versions
    -0.82
    rupulous
    -0.76
     Schumer
    -0.76
    ormons
    -0.75
    anooga
    -0.73
    urated
    -0.68
    opath
    -0.68
    ATURE
    -0.67
    POSITIVE LOGITS
    bows
    1.19
    forest
    1.19
     Rain
    1.12
    fall
    0.99
    drops
    0.94
    storms
    0.93
    bow
    0.87
    falls
    0.85
    storm
    0.85
    maker
    0.84
    Activations Density 0.006%

    No Known Activations