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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
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    Explanations

    locations or landmarks related to the city of San Diego

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "San Diego" and related locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vana
    -0.85
    eworld
    -0.77
    ogun
    -0.75
    ntil
    -0.74
    nces
    -0.74
    odox
    -0.73
    Ü
    -0.72
    pire
    -0.71
    bley
    -0.71
    ï¸
    -0.70
    POSITIVE LOGITS
     Padres
    1.25
     Chargers
    1.15
     Comic
    1.01
     County
    0.93
     Diego
    0.88
     Unified
    0.80
     Zoo
    0.77
     Undead
    0.72
     State
    0.71
     Plate
    0.71
    Activations Density 0.015%

    No Known Activations