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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. 10-RES-JB
    6. 17193
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    Explanations

    locations or places mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or geographical entities

    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
    eus
    -0.76
    ifact
    -0.73
    STD
    -0.72
    ERA
    -0.72
    arians
    -0.72
    ality
    -0.71
    chrom
    -0.69
    each
    -0.69
    worthiness
    -0.69
    JUST
    -0.68
    POSITIVE LOGITS
     suburbs
    1.53
     Bronx
    1.41
     suburb
    1.33
     outskirts
    1.25
     vicinity
    1.25
     city
    1.22
     countryside
    1.20
     borough
    1.16
     basement
    1.15
     neighborhood
    1.15
    Activations Density 0.166%

    No Known Activations