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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. 24478
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    Explanations

    references to original or initial versions or instances

    oai_token-act-pair · gpt-3.5-turbo

    the word "originally."

    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
    rom
    -0.88
    ritch
    -0.77
    eers
    -0.73
     Vish
    -0.73
    stakes
    -0.71
    eer
    -0.71
    actions
    -0.69
    rer
    -0.68
    bara
    -0.68
    holes
    -0.67
    POSITIVE LOGITS
     intended
    0.92
     conceived
    0.83
     planned
    0.73
     uploaded
    0.72
     exting
    0.71
     credited
    0.71
     housed
    0.71
     belonged
    0.70
    FTWARE
    0.70
     belong
    0.70
    Activations Density 0.011%

    No Known Activations