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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. 24022
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    Explanations

    punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their frequency in sentences

    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
     advis
    -0.78
    etheless
    -0.73
     stewards
    -0.69
     shoppers
    -0.67
     roam
    -0.67
    ussion
    -0.66
     sustainability
    -0.66
     attackers
    -0.65
     chopping
    -0.65
    istar
    -0.65
    POSITIVE LOGITS
    E
    1.01
    J
    1.01
    A
    0.92
    Crew
    0.91
    R
    0.91
    S
    0.90
    L
    0.90
    W
    0.89
    O
    0.88
    M
    0.88
    Activations Density 0.061%

    No Known Activations