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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. 2176
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    Explanations

    numerical measurements related to sizes

    oai_token-act-pair · gpt-3.5-turbo

    measurements related to sizes and dimensions

    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
    ammy
    -0.66
     Kaplan
    -0.64
     Haste
    -0.62
    gotten
    -0.60
    Quotes
    -0.60
    Agent
    -0.59
    idden
    -0.59
    capital
    -0.59
    uscript
    -0.58
    Redditor
    -0.58
    POSITIVE LOGITS
     diameter
    1.38
    iameter
    1.26
     diam
    1.10
     circumference
    0.95
    atform
    0.95
     radius
    0.87
    代
    0.87
     tiss
    0.83
     tubing
    0.80
     tremend
    0.79
    Activations Density 0.008%

    No Known Activations