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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. 23065
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    INDEX
    Explanations

    instances where someone is on the scene witnessing an event or situation

    oai_token-act-pair · gpt-3.5-turbo

    distinctive punctuation usage, particularly commas

    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
    prise
    -0.82
    ggles
    -0.74
    ucc
    -0.71
     Klux
    -0.70
    idy
    -0.69
    usterity
    -0.67
    ugu
    -0.65
    rio
    -0.65
    ge
    -0.63
    ivities
    -0.63
    POSITIVE LOGITS
     awaiting
    1.32
     waiting
    1.18
     ready
    1.12
     preparing
    1.08
     unable
    1.06
     albeit
    1.05
     enjoying
    1.01
     possessing
    1.00
     trying
    0.99
     having
    0.99
    Activations Density 0.351%

    No Known Activations