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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. 4675
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    Explanations

    words related to peaks or high points

    oai_token-act-pair · gpt-3.5-turbo

    terms related to peaks, summits, or points of crisis

    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
    UGH
    -0.67
     Hunters
    -0.64
     Genocide
    -0.61
     exerc
    -0.61
     inspection
    -0.60
     Warehouse
    -0.60
     Sap
    -0.60
     grilled
    -0.60
     poultry
    -0.60
     OU
    -0.59
    POSITIVE LOGITS
    fully
    1.06
    ful
    1.05
    some
    1.00
    anos
    0.98
    ril
    0.97
    fall
    0.97
    sburgh
    0.96
    inelli
    0.96
    icular
    0.95
    ron
    0.92
    Activations Density 0.022%

    No Known Activations