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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
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    Explanations

    geographical locations such as districts and provinces

    oai_token-act-pair · gpt-3.5-turbo

    terms related to geographical locations, specifically districts and provinces

    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
    Jones
    -0.69
    ilings
    -0.66
    xon
    -0.65
    iator
    -0.64
    Bob
    -0.63
    idth
    -0.61
    apego
    -0.61
    fitting
    -0.61
    ipedia
    -0.59
    gers
    -0.59
    POSITIVE LOGITS
     northeast
    1.05
     southeast
    1.04
     northwest
    1.03
    fecture
    0.97
     southwest
    0.95
     âĵĺ
    0.94
     north
    0.92
     bordering
    0.90
     suburb
    0.89
     south
    0.89
    Activations Density 0.138%

    No Known Activations