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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. 1960
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    Explanations

    specific locations or proper nouns referring to various places in text

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of places, characters, and brands

    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
    ives
    -0.84
    uncture
    -0.83
    ively
    -0.81
    omen
    -0.80
    apers
    -0.79
    pter
    -0.79
    opoulos
    -0.78
    IVE
    -0.75
    iership
    -0.75
    ando
    -0.73
    POSITIVE LOGITS
    keley
    0.84
     tradem
    0.79
    wana
    0.79
    cham
    0.75
    oreal
    0.74
    ibliography
    0.70
    EGIN
    0.69
    EStreamFrame
    0.68
     Habit
    0.68
    levard
    0.66
    Activations Density 0.054%

    No Known Activations