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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. 9607
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    Explanations

    mentions of specific terms related to medical conditions such as "ECT," "psychiatric treatments," "depression," and "brain surgery."

    oai_token-act-pair · gpt-3.5-turbo

    specific mentions and contexts related to Ukraine and statistical data

    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
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    Negative Logits
    ãĥ¼ãĥ³
    -0.67
     laz
    -0.61
    taboola
    -0.59
     slog
    -0.58
    wage
    -0.57
    ................................................................
    -0.57
    Appearances
    -0.55
     Yelp
    -0.55
     scar
    -0.54
     stranger
    -0.54
    POSITIVE LOGITS
    ERT
    0.85
    ITION
    0.82
    IUM
    0.74
    metics
    0.71
     HIP
    0.70
    ATA
    0.70
    ANS
    0.70
    NET
    0.68
     laureate
    0.68
    amily
    0.67
    Activations Density 0.677%

    No Known Activations