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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. 11-RES-JB
    11. 12888
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    Explanations

    individual names

    oai_token-act-pair · gpt-3.5-turbo

    the name "Ty" in various contexts and formats, indicating a strong focus on this subject

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     EDITION
    -0.69
     congr
    -0.69
    SPONSORED
    -0.65
     polarized
    -0.63
    itary
    -0.62
    ãĥ«
    -0.62
     Gleaming
    -0.62
    Invalid
    -0.59
    ajor
    -0.59
     freezing
    -0.59
    POSITIVE LOGITS
    coon
    1.32
    rell
    1.22
    rian
    1.15
    reon
    1.05
    rius
    1.05
    rol
    1.03
    ria
    1.03
    rians
    1.03
    rael
    1.01
    reek
    0.97
    Activations Density 0.025%

    No Known Activations