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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 24309
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    Explanations

    references to locations in Washington D.C

    oai_token-act-pair · gpt-3.5-turbo

    references to Washington D.C. or the D.C. area

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    Maker
    -0.78
     Izan
    -0.76
    éĹĺ
    -0.72
    edIn
    -0.71
     Finnish
    -0.64
    maker
    -0.64
    Reviewer
    -0.63
    toggle
    -0.60
    ItemTracker
    -0.60
    sbm
    -0.60
    POSITIVE LOGITS
    .,
    1.48
    .?
    1.20
    .,"
    1.15
    .;
    1.14
    .:
    1.10
    ./
    1.06
    .—
    1.00
    .-
    0.95
    .–
    0.91
    .),
    0.88
    Activations Density 0.016%

    No Known Activations