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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. 9-RES-JB
    11. 13126
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    Explanations

    phrases where someone is speaking or being quoted

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions or statements made following specific events

    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
    Not in Any Lists

    No Comments

    Negative Logits
    anges
    -0.81
    omorphic
    -0.72
    geist
    -0.71
    untled
    -0.70
    krit
    -0.68
    Engine
    -0.68
    onne
    -0.66
    addons
    -0.64
    ASE
    -0.63
    /(
    -0.63
    POSITIVE LOGITS
     unveiling
    1.02
     announcing
    0.96
     meeting
    0.95
    noon
    0.95
     briefing
    0.90
     signing
    0.89
     departing
    0.86
     hearing
    0.85
     inaug
    0.84
     Sunday
    0.83
    Activations Density 0.175%

    No Known Activations