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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. 10-RES-JB
    11. 5667
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    INDEX
    Explanations

    pronouns followed by verbs

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating consequence or explanation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Uncommon
    -0.72
    ancies
    -0.69
    dylib
    -0.65
    shown
    -0.64
    particularly
    -0.64
     Excellence
    -0.64
    rongh
    -0.63
     Talent
    -0.61
    adem
    -0.60
    istani
    -0.60
    POSITIVE LOGITS
     begs
    0.89
     guess
    0.88
     yeah
    0.85
     kinda
    0.81
    bye
    0.79
     decided
    0.79
     gotta
    0.79
     conclude
    0.78
     proceed
    0.76
     proceeded
    0.76
    Activations Density 0.198%

    No Known Activations