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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. 7-RES-JB
    6. 22824
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    coni
    -0.86
    pload
    -0.74
    KER
    -0.70
    xual
    -0.69
     Coffin
    -0.68
    uble
    -0.68
     monop
    -0.67
     clipped
    -0.66
    ked
    -0.65
    cair
    -0.65
    POSITIVE LOGITS
     emergencies
    0.89
     care
    0.88
     advis
    0.86
    hazard
    0.84
    iencies
    0.82
     epidem
    0.81
    aceutical
    0.80
     hazards
    0.79
     microbi
    0.79
     practition
    0.78
    Activations Density 0.032%

    No Known Activations