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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. 7-RES-JB
    6. 736
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    Explanations

    terms related to causing or bringing about a specific effect or state

    oai_token-act-pair · gpt-3.5-turbo

    terms related to induction or causes of effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fman
    -0.77
     Borough
    -0.66
     Kro
    -0.64
     Coast
    -0.64
    halla
    -0.64
    lain
    -0.64
     Jenner
    -0.63
    Ü
    -0.62
    sonian
    -0.61
     Blessed
    -0.61
    POSITIVE LOGITS
     plur
    1.12
    uced
    0.89
     analges
    0.88
     apopt
    0.86
     induced
    0.86
     vomiting
    0.86
    untarily
    0.85
     induce
    0.84
    aneous
    0.84
    orescence
    0.82
    Activations Density 0.034%

    No Known Activations