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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. 4-RES-JB
    11. 18523
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    Explanations

    a specific sequence of characters

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of a specific character or symbol

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

    No Comments

    Negative Logits
    ters
    -0.84
    rette
    -0.83
    undai
    -0.78
     bluff
    -0.78
     bidder
    -0.76
    esville
    -0.76
    verts
    -0.75
    faced
    -0.75
    ouncing
    -0.73
    ilts
    -0.72
    POSITIVE LOGITS
    ا
    1.07
    ÑĮ
    1.00
    ãģĨ
    0.93
    ÙĪ
    0.92
     اÙĦ
    0.92
    ĩ
    0.91
    ĥ
    0.90
    Į
    0.90
    н
    0.90
    ī
    0.90
    Activations Density 0.008%

    No Known Activations