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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

    mentions of the tennis tournament "Wimbledon"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Wimbledon" and related terminology

    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
    eer
    -0.87
    eers
    -0.83
    illo
    -0.80
     Seym
    -0.74
    ulla
    -0.69
    ellation
    -0.69
    hips
    -0.67
     perspect
    -0.66
    aution
    -0.65
     constellation
    -0.65
    POSITIVE LOGITS
    mers
    1.02
    bledon
    0.97
    wd
    0.85
    mer
    0.82
    JECT
    0.81
    bas
    0.76
    pex
    0.75
    dden
    0.75
    bour
    0.75
    bler
    0.74
    Activations Density 0.022%

    No Known Activations