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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. 7-RES-JB
    11. 7968
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    Explanations

    countries, regions, and other geographic locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific countries and regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cause
    -0.66
    inqu
    -0.64
    into
    -0.63
    requisite
    -0.62
    ————————————————
    -0.62
    grain
    -0.58
    rieve
    -0.58
    ril
    -0.57
    Ingredients
    -0.57
    rolet
    -0.56
    POSITIVE LOGITS
     meanwhile
    0.97
     there
    0.78
     however
    0.72
     jargon
    0.69
     circles
    0.68
    lance
    0.66
    idents
    0.62
     nutshell
    0.60
     pandemonium
    0.59
     guise
    0.57
    Activations Density 0.305%

    No Known Activations