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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. 2-RES-JB
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    Explanations

    locations or proper nouns related to towns and people

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and names, particularly "Hastings" and "Hamburg"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    berman
    -0.86
    ining
    -0.80
    ombo
    -0.80
    atives
    -0.78
    nels
    -0.77
    ative
    -0.77
    ivas
    -0.77
    DonaldTrump
    -0.76
    izations
    -0.75
    arity
    -0.75
    POSITIVE LOGITS
     Hastings
    0.97
    EV
    0.74
     Toast
    0.72
    rament
    0.71
     Dates
    0.69
    SEE
    0.68
    ULTS
    0.68
     Pavilion
    0.68
    Film
    0.67
     Ended
    0.67
    Activations Density 0.012%

    No Known Activations