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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. 3-RES-JB
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    Explanations

    locations, in particular, the city of San Diego

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of San Diego

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vana
    -0.82
    eworld
    -0.81
    Ü
    -0.75
    mercial
    -0.74
    herical
    -0.68
    istle
    -0.67
    big
    -0.67
    Ö¼
    -0.66
    ogun
    -0.65
    ICS
    -0.65
    POSITIVE LOGITS
     Padres
    1.15
     Chargers
    1.08
     Diego
    1.01
     County
    0.99
     Comic
    0.88
     Francisco
    0.85
     Angeles
    0.80
     Springs
    0.79
     Unified
    0.78
     Garcia
    0.72
    Activations Density 0.010%

    No Known Activations