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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. 10-RES-JB
    11. 24497
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    INDEX
    Explanations

    large numbers or quantities expressed in thousands or millions

    oai_token-act-pair · gpt-3.5-turbo

    references to large numerical statistics or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nah
    -0.75
    ourage
    -0.74
    alys
    -0.74
     envy
    -0.70
    gradation
    -0.67
    Dialogue
    -0.67
    bara
    -0.67
    amine
    -0.64
    alyses
    -0.64
    mire
    -0.63
    POSITIVE LOGITS
     hectares
    1.07
     acres
    1.07
     pounds
    1.05
     square
    1.01
     sq
    1.00
     lbs
    1.00
     households
    0.93
    lbs
    0.92
     registered
    0.90
     individuals
    0.90
    Activations Density 0.095%

    No Known Activations