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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 15480
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    Explanations

    the name "Durant," specifically with a higher activation for instances where the name is associated with positive or significant events

    oai_token-act-pair · gpt-3.5-turbo

    references to the basketball player Kevin Durant

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ework
    -0.78
    LOAD
    -0.74
    tering
    -0.72
    bered
    -0.72
    scribed
    -0.72
    ocular
    -0.70
    glers
    -0.70
    actively
    -0.68
    course
    -0.67
    animate
    -0.67
    POSITIVE LOGITS
     Durant
    0.88
     Westbrook
    0.87
     Harden
    0.85
    minster
    0.75
    itect
    0.70
    ary
    0.69
     Bros
    0.69
     KD
    0.68
    heimer
    0.68
    Dur
    0.67
    Activations Density 0.026%

    No Known Activations