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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. 9-RES-JB
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    Explanations

    proper nouns related to a specific location (Washington)

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Washington, likely indicating a focus on political or governmental content related to the city

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lass
    -0.75
    sole
    -0.71
    otal
    -0.71
    selection
    -0.69
    lasses
    -0.66
    vana
    -0.65
    osing
    -0.63
    opsy
    -0.62
    onement
    -0.62
     {*
    -0.61
    POSITIVE LOGITS
    ASHINGTON
    1.12
     DC
    0.99
     STATE
    0.90
    aukee
    0.88
     CITY
    0.88
     POST
    0.86
    WASHINGTON
    0.86
    POST
    0.86
     WEEK
    0.79
    boro
    0.79
    Activations Density 0.016%

    No Known Activations