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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. 3-RES-JB
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    Explanations

    mentions of a specific location, namely Bristol

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the location "Bristol."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avez
    -0.78
    ced
    -0.71
     guid
    -0.62
    videos
    -0.61
    venge
    -0.61
    adena
    -0.61
     accur
    -0.60
    hig
    -0.60
    inarily
    -0.60
    ceed
    -0.58
    POSITIVE LOGITS
    mouth
    0.91
    reath
    0.84
     Palin
    0.81
    shire
    0.81
    halla
    0.75
    itude
    0.74
    ignt
    0.73
    ienne
    0.73
     Ports
    0.69
    boro
    0.69
    Activations Density 0.009%

    No Known Activations