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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. 8880
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    Explanations

    references to specific locations, particularly focusing on cities and possibly legal facilities like jails

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographic locations, particularly those related to Native American context

    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
    oeuv
    -0.84
    urst
    -0.79
    lass
    -0.76
    onut
    -0.76
    fare
    -0.74
    ramer
    -0.74
    lasses
    -0.72
    inse
    -0.72
    atures
    -0.70
    selage
    -0.70
    POSITIVE LOGITS
     Coyotes
    0.92
    ione
    0.84
    issance
    0.80
     Navajo
    0.80
    DEN
    0.75
     AZ
    0.74
    endale
    0.68
    esan
    0.68
     Wildcats
    0.67
     Tucson
    0.66
    Activations Density 0.027%

    No Known Activations