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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. 0-RES-JB
    11. 20223
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    Explanations

    proper nouns related to locations or people

    oai_token-act-pair · gpt-3.5-turbo

    terms related to expertise or specialists

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Falcons
    -0.74
     Invasion
    -0.68
     Braves
    -0.66
     kh
    -0.64
     commute
    -0.64
     Union
    -0.63
     Future
    -0.63
     alias
    -0.62
     banter
    -0.60
     Journey
    -0.60
    POSITIVE LOGITS
    pert
    4.92
    cellence
    1.10
    per
    1.04
    posure
    1.04
    perature
    1.00
    pin
    1.00
    peria
    0.99
    clusive
    0.95
    pect
    0.95
    cess
    0.92
    Activations Density 0.019%

    No Known Activations