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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. 6-RES-JB
    11. 15429
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IBLE
    -0.70
     Fallen
    -0.68
    PRES
    -0.67
     fluorescent
    -0.66
     gallery
    -0.63
     tubes
    -0.62
     shipping
    -0.62
     Grayson
    -0.62
     ultrasound
    -0.61
    PORT
    -0.61
    POSITIVE LOGITS
    ieties
    1.18
    keye
    1.13
    iety
    1.06
    ietal
    0.92
    isco
    0.91
    ivil
    0.90
    iet
    0.89
    ionics
    0.89
    archy
    0.87
    iological
    0.86
    Activations Density 0.023%

    No Known Activations