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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. 0-RES-JB
    11. 539
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    Explanations

    words related to visual acuity and fine details

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "accuracy" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GW
    -0.70
     Heller
    -0.68
    hell
    -0.67
     Zimmer
    -0.67
     Reward
    -0.67
    skirts
    -0.67
     Worm
    -0.66
     Subway
    -0.66
    Redd
    -0.66
     Cities
    -0.65
    POSITIVE LOGITS
     ac
    3.65
     Ac
    1.62
     cac
    1.46
    Ac
    1.34
     AC
    1.16
    ac
    1.07
     ath
    1.04
     acet
    1.04
     ar
    1.00
     ic
    1.00
    Activations Density 0.010%

    No Known Activations