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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. 0-RES-JB
    11. 6349
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    Explanations

    proper nouns related to a specific location - "Montgomery"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific location, likely Montgomery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dota
    -0.78
    Xi
    -0.73
     stick
    -0.72
    EV
    -0.70
     trad
    -0.69
     Evil
    -0.69
    ´
    -0.69
     EV
    -0.69
     Xi
    -0.67
     sticks
    -0.66
    POSITIVE LOGITS
     Montgomery
    3.81
    gomery
    2.04
    Mont
    1.58
     Monroe
    1.47
     Cobb
    1.40
     Birmingham
    1.36
     Baltimore
    1.35
     Frederick
    1.35
     Shelby
    1.26
     Lancaster
    1.25
    Activations Density 0.015%

    No Known Activations