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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. 8-RES-JB
    11. 12278
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    INDEX
    Explanations

    phrases indicating importance or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "Keep in mind that" or variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oses
    -0.82
    eal
    -0.71
    zman
    -0.69
    ax
    -0.69
    rack
    -0.69
    pec
    -0.68
    agram
    -0.67
    alysed
    -0.66
    leen
    -0.65
    Edge
    -0.64
    POSITIVE LOGITS
     although
    1.06
     there
    0.99
     unlike
    0.95
     neither
    0.88
     none
    0.85
     whereas
    0.82
     despite
    0.81
     THERE
    0.81
     many
    0.80
     "[
    0.80
    Activations Density 0.221%

    No Known Activations