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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 14226
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    Explanations

    locations and items related to fitness facilities

    oai_token-act-pair · gpt-3.5-turbo

    references to gym-related activities and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Strait
    -0.76
    IBLE
    -0.73
    theless
    -0.69
    ICT
    -0.68
    */(
    -0.67
    OVER
    -0.67
     flawed
    -0.65
    angered
    -0.62
    better
    -0.60
     UID
    -0.60
    POSITIVE LOGITS
    nas
    1.62
    rats
    0.84
    bell
    0.81
     trainer
    0.80
    rosse
    0.79
    nos
    0.79
    floor
    0.79
    rition
    0.78
    mers
    0.78
    cers
    0.77
    Activations Density 0.014%

    No Known Activations