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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. 12245
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    Explanations

    words related to text or textual analysis

    oai_token-act-pair · gpt-3.5-turbo

    references to "text" in various contexts related to text processing and analysis

    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
    pload
    -0.79
    vernment
    -0.77
    CVE
    -0.70
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.69
    MAL
    -0.69
    negie
    -0.68
     Kashmir
    -0.68
    TAIN
    -0.68
    Accessory
    -0.67
    deen
    -0.66
    POSITIVE LOGITS
    ured
    1.25
    uality
    1.09
    plain
    0.99
    uring
    0.93
     text
    0.93
    ual
    0.92
    ures
    0.91
    urally
    0.90
    area
    0.90
    text
    0.90
    Activations Density 0.015%

    No Known Activations