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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. 3-RES-JB
    11. 6927
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    Explanations

    numbers related to the quantity of something

    oai_token-act-pair · gpt-3.5-turbo

    references to attempts or instances of taking shots, particularly in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rador
    -0.82
    gres
    -0.77
    ŃĶ
    -0.77
    yrinth
    -0.74
    Myth
    -0.71
    Leaks
    -0.71
    lict
    -0.71
    rum
    -0.70
    reen
    -0.68
    doms
    -0.67
    POSITIVE LOGITS
     shots
    1.06
     shot
    0.97
     Fired
    0.93
     fired
    0.92
    hell
    0.91
    ynthesis
    0.90
     Shots
    0.89
    creen
    0.88
    nikov
    0.88
    poons
    0.88
    Activations Density 0.013%

    No Known Activations