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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 4138
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    Explanations

    accurate information

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to accuracy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    horn
    -0.81
    hedon
    -0.75
    loo
    -0.72
    #$#$
    -0.71
    osphere
    -0.71
    AIN
    -0.70
    inki
    -0.69
     Amon
    -0.68
     Pharma
    -0.68
    hov
    -0.67
    POSITIVE LOGITS
     portrayal
    1.08
     depiction
    1.00
    uracy
    0.93
     representation
    0.91
     depictions
    0.87
     estim
    0.86
     accuracy
    0.86
     reproduction
    0.86
    imating
    0.85
    imated
    0.85
    Activations Density 0.062%

    No Known Activations