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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
    11. 16022
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    Explanations

    specific locations related to street names

    oai_token-act-pair · gpt-3.5-turbo

    street names and locations with "Drive" in them

    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
     Seym
    -0.87
    icipated
    -0.80
    uba
    -0.79
    oan
    -0.74
    itious
    -0.74
    iannopoulos
    -0.73
    imated
    -0.72
    umbn
    -0.72
    ual
    -0.72
    astics
    -0.70
    POSITIVE LOGITS
     Drive
    0.90
    away
    0.80
     Dri
    0.76
    train
    0.75
     Drift
    0.73
    Drive
    0.72
     Yards
    0.71
    aways
    0.70
    driver
    0.70
    haw
    0.70
    Activations Density 0.017%

    No Known Activations