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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. 3-RES-JB
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    Explanations

    locations or entities associated with the term "TOR"

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Toronto

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Doe
    -0.79
    ãĤ¦
    -0.77
    holder
    -0.76
    scl
    -0.76
    wagen
    -0.75
    hard
    -0.70
    stakes
    -0.69
    els
    -0.68
    eting
    -0.67
    hardt
    -0.67
    POSITIVE LOGITS
    TOR
    1.23
    onto
    1.01
    MENT
    0.91
     TOR
    0.84
    oshenko
    0.81
    ON
    0.78
     rall
    0.76
     earthqu
    0.74
    pora
    0.74
    olitics
    0.73
    Activations Density 0.006%

    No Known Activations