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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. 4914
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    Explanations

    alphanumeric representations potentially containing fractions

    oai_token-act-pair · gpt-3.5-turbo

    instances of fractional values or specific symbols

    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
    utra
    -0.87
    ocr
    -0.80
    enf
    -0.79
    otrop
    -0.79
    ocratic
    -0.74
    */(
    -0.73
    urg
    -0.73
    ocrats
    -0.72
    essions
    -0.70
    geist
    -0.69
    POSITIVE LOGITS
    ½
    1.05
    ï¸ı
    1.05
    ï¸
    0.80
    ¯¯¯¯
    0.78
    ··
    0.75
    terness
    0.75
     ½
    0.73
    ÃĹ
    0.71
     inch
    0.70
    âĢł
    0.69
    Activations Density 0.009%

    No Known Activations