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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
    11. 14673
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    Explanations

    mentions of a specific geographical location, specifically Baton Rouge

    oai_token-act-pair · gpt-3.5-turbo

    references to the location Baton Rouge

    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
    ULT
    -0.86
    PLIED
    -0.84
    avorite
    -0.73
    429
    -0.71
    PF
    -0.70
    TF
    -0.68
     Profit
    -0.67
    ski
    -0.67
    USE
    -0.66
     Volunte
    -0.64
    POSITIVE LOGITS
     Baton
    1.18
     Rouge
    1.14
    xes
    0.97
    nces
    0.92
    mingham
    0.88
    olulu
    0.86
    ¯¯¯¯¯¯¯¯
    0.86
    boa
    0.85
    ãĥ£
    0.85
    ============
    0.83
    Activations Density 0.015%

    No Known Activations