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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 2994
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    Explanations

    the word 'ant'

    oai_token-act-pair · gpt-3.5-turbo

    references to ants and related themes

    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
     Gerrard
    -0.86
     Wiggins
    -0.83
     Moff
    -0.80
    ocket
    -0.74
    ews
    -0.74
     Kitchen
    -0.73
    reci
    -0.72
    è¯
    -0.72
    kowski
    -0.72
    igne
    -0.70
    POSITIVE LOGITS
     ant
    3.68
     ants
    2.05
     Ant
    2.03
     antid
    1.85
    Ant
    1.84
     antib
    1.74
     antic
    1.70
     antip
    1.67
     antiv
    1.61
     anti
    1.54
    Activations Density 0.027%

    No Known Activations