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

    mentions of press conferences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "press conference."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ju
    -0.71
     antip
    -0.70
    ecd
    -0.68
    oiler
    -0.66
     romantic
    -0.65
     Penet
    -0.62
    hom
    -0.62
    oil
    -0.61
     decay
    -0.60
    interest
    -0.60
    POSITIVE LOGITS
     announcing
    1.12
     convened
    0.97
     conference
    0.86
     attendees
    0.81
     Minutes
    0.79
     presentations
    0.78
     keynote
    0.78
     held
    0.74
     plaza
    0.73
     podium
    0.73
    Activations Density 0.024%

    No Known Activations