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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    references to the state of Texas

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the state of Texas

    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
    agall
    -0.82
     Eur
    -0.75
     goblins
    -0.73
     organise
    -0.71
    dra
    -0.71
    rg
    -0.70
    eme
    -0.70
     learnt
    -0.69
    rane
    -0.69
     goblin
    -0.68
    POSITIVE LOGITS
     Texas
    3.53
    Texas
    3.34
     Tex
    2.37
     Texans
    2.30
     TX
    2.23
     Louisiana
    2.11
     Houston
    2.09
     Arkansas
    2.06
    Tex
    2.05
     Dallas
    2.04
    Activations Density 0.018%

    No Known Activations