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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. 7-RES-JB
    11. 9541
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    Explanations

    phrases related to understanding or comprehending something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "that"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hens
    -0.78
    orah
    -0.75
    oran
    -0.73
    isers
    -0.72
    yn
    -0.68
    obb
    -0.68
    rack
    -0.67
    aughtered
    -0.67
    ostics
    -0.67
    ostic
    -0.66
    POSITIVE LOGITS
     there
    0.88
     someday
    0.83
     they
    0.82
     pesky
    0.77
     although
    0.77
     THERE
    0.75
     whereas
    0.74
     fateful
    0.73
     THEY
    0.72
     despite
    0.67
    Activations Density 0.203%

    No Known Activations