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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. 10-RES-JB
    11. 12356
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    Explanations

    photographs and captions

    oai_token-act-pair · gpt-3.5-turbo

    references to files and photos

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DERR
    -0.86
    Cola
    -0.69
    worldly
    -0.67
    mental
    -0.67
    yrinth
    -0.66
    pid
    -0.62
    ingo
    -0.62
    Built
    -0.61
    chance
    -0.61
    linear
    -0.61
    POSITIVE LOGITS
     IMAGES
    0.79
     illustration
    0.73
    FILE
    0.73
     taken
    0.70
     Nare
    0.69
     courtesy
    0.68
     snapped
    0.66
     Generic
    0.64
    journal
    0.63
     shows
    0.61
    Activations Density 0.043%

    No Known Activations