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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. 16435
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    Explanations

    places or locations that are significant or have a high level of activity

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to locations that serve as hubs or centers for various activities

    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
    ©¶æ
    -0.59
    qus
    -0.59
    oodoo
    -0.57
     Thin
    -0.56
     dehyd
    -0.56
     Overt
    -0.53
     annotations
    -0.53
     Tsukuyomi
    -0.52
    phies
    -0.52
     staggered
    -0.51
    POSITIVE LOGITS
     for
    1.05
     destination
    0.89
     where
    0.84
     hub
    0.83
     ripe
    0.83
     venue
    0.83
     conducive
    0.81
     refuge
    0.80
     wherein
    0.78
     destinations
    0.78
    Activations Density 0.217%

    No Known Activations