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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. 1-RES-JB
    11. 1004
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    Explanations

    averages or averaging across different contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to averages and statistical measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nou
    -0.71
    SF
    -0.64
    Drug
    -0.63
    letter
    -0.63
     Starship
    -0.63
    ledge
    -0.63
     Cultural
    -0.61
    ACTED
    -0.61
    PRESS
    -0.60
    Hyper
    -0.60
    POSITIVE LOGITS
     averaging
    1.01
     averages
    1.00
    mble
    0.97
    icals
    0.90
    uates
    0.85
    imates
    0.82
    nesota
    0.80
     averaged
    0.79
    ioxide
    0.78
    iversal
    0.78
    Activations Density 0.007%

    No Known Activations