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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 15258
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    Explanations

    references to funds or financial assistance, particularly in the form of grants

    oai_token-act-pair · gpt-3.5-turbo

    mentions of funding opportunities, specifically grants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     photograph
    -0.69
     backdrop
    -0.65
     adul
    -0.65
    oby
    -0.64
     photographed
    -0.64
    sit
    -0.60
     Hue
    -0.59
    ront
    -0.59
    Ħ¢
    -0.59
    ounter
    -0.59
    POSITIVE LOGITS
     grants
    3.72
     Grants
    2.49
     grant
    2.22
     granting
    1.54
     permits
    1.51
     scholarships
    1.50
     prizes
    1.48
     awards
    1.45
     guarantees
    1.43
     refunds
    1.40
    Activations Density 0.006%

    No Known Activations