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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. 11510
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    INDEX
    Explanations

    numerical values within a specific range

    oai_token-act-pair · gpt-3.5-turbo

    occurrences 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 @ 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
    raints
    -0.89
     explan
    -0.76
     Seym
    -0.76
     disadvant
    -0.74
     horizont
    -0.70
     pestic
    -0.69
     mathemat
    -0.69
     condem
    -0.64
    enegger
    -0.63
     thous
    -0.63
    POSITIVE LOGITS
    ï¸ı
    1.01
    fter
    0.98
    ĺ
    0.90
    âĹ¼
    0.81
    rd
    0.79
    Ł
    0.77
    vernment
    0.77
    log
    0.76
    fters
    0.76
    ï¸
    0.75
    Activations Density 0.023%

    No Known Activations