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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. 5-RES-JB
    6. 8992
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    Explanations

    proper nouns related to specific locations, organizations, and individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to specific locations and names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vulcan
    -0.71
    estinal
    -0.69
    tails
    -0.66
    matic
    -0.66
     Africans
    -0.65
     fishes
    -0.64
     Grail
    -0.63
     Viking
    -0.63
    aredevil
    -0.62
     iodine
    -0.62
    POSITIVE LOGITS
     Bernardino
    0.86
    _>
    0.84
    zai
    0.80
    REDACTED
    0.80
    cade
    0.78
    olid
    0.78
    olic
    0.77
    ombies
    0.76
    icio
    0.75
    icans
    0.75
    Activations Density 0.026%

    No Known Activations