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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. 9-RES-JB
    11. 15980
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    Explanations

    phrases related to specific geographic areas

    oai_token-act-pair · gpt-3.5-turbo

    references to geographical areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gement
    -0.78
    struction
    -0.77
    thood
    -0.74
    imon
    -0.70
    ICE
    -0.69
    henko
    -0.68
    ãĥīãĥ©
    -0.67
    lett
    -0.66
    umbledore
    -0.66
    Panel
    -0.66
    POSITIVE LOGITS
     vicinity
    1.11
     surrounding
    0.97
     periphery
    0.93
     illegally
    0.89
     bounded
    0.85
     area
    0.83
     outskirts
    0.81
     perimeter
    0.80
     suburbs
    0.80
     countryside
    0.79
    Activations Density 0.153%

    No Known Activations