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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. 1-RES-JB
    6. 11875
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    Explanations

    phrases starting with "Let" followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "Let" followed by any context

    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
     holiest
    -0.78
    Zen
    -0.73
    POSE
    -0.72
    PLIED
    -0.69
    ?????-
    -0.67
    Beast
    -0.63
     favour
    -0.63
     violation
    -0.62
    existent
    -0.61
    CLASSIFIED
    -0.60
    POSITIVE LOGITS
    icia
    0.94
    itia
    0.84
    ezvous
    0.79
    staking
    0.78
    hetically
    0.75
    igers
    0.74
     us
    0.74
    winter
    0.73
    erest
    0.73
     Let
    0.71
    Activations Density 0.020%

    No Known Activations