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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. 9-RES-JB
    11. 1422
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    Explanations

    proper names of people, most likely involved in a crime or investigation

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izoph
    -0.78
    fml
    -0.66
    Tokens
    -0.65
    ãĥ¼ãĥ³
    -0.65
    Compared
    -0.65
    soDeliveryDate
    -0.65
    meric
    -0.63
     legitimacy
    -0.63
    Values
    -0.63
    MY
    -0.62
    POSITIVE LOGITS
     Jr
    1.45
     III
    1.21
     Sr
    1.12
     QC
    1.11
    zzi
    1.05
    chuk
    1.01
    tsky
    1.00
     aka
    0.98
     Associates
    0.98
    icz
    0.97
    Activations Density 0.260%

    No Known Activations