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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
    11. 20138
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    Explanations

    phrases related to specific geographical zones or regions

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of zones, particularly relating to environmental, economic, or social contexts

    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
    ntil
    -0.84
    anooga
    -0.77
    sonian
    -0.77
    ERAL
    -0.76
    ÃįÃį
    -0.76
    actionDate
    -0.75
    Catal
    -0.72
    urated
    -0.71
    tesy
    -0.70
    mingham
    -0.69
    POSITIVE LOGITS
     zones
    1.03
     zone
    1.01
     dwell
    0.84
     Zone
    0.78
    ipolar
    0.71
     area
    0.69
     alignment
    0.69
     Oo
    0.69
     areas
    0.67
     divid
    0.66
    Activations Density 0.008%

    No Known Activations