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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. 2257
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    Explanations

    references to feeding or tending to sheep

    oai_token-act-pair · gpt-3.5-turbo

    references to biblical figures or concepts

    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
    arming
    -0.68
    naire
    -0.67
     rigged
    -0.65
    affe
    -0.64
     backdrop
    -0.64
    icity
    -0.63
     disappro
    -0.63
    versive
    -0.62
     revealed
    -0.62
    bidden
    -0.62
    POSITIVE LOGITS
    hester
    0.84
    anchester
    0.75
    sbm
    0.71
    ulia
    0.69
    hart
    0.68
    aturdays
    0.68
    rontal
    0.67
     ANGEL
    0.66
    dinand
    0.66
    cycles
    0.66
    Activations Density 0.000%

    No Known Activations