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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. 6-RES-JB
    6. 11393
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    Explanations

    numeric patterns in HTML-like content

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and symbols in text

    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
     mathemat
    -1.01
     tremend
    -0.92
     fortun
    -0.80
     nodd
    -0.77
     confir
    -0.76
     paralyzed
    -0.75
     manif
    -0.75
     sophistic
    -0.74
     bounded
    -0.73
     unnecess
    -0.70
    POSITIVE LOGITS
    </
    0.86
    &
    0.85
    gt
    0.84
    display
    0.81
    amp
    0.80
    lt
    0.78
    ohm
    0.78
    Tang
    0.77
    [/
    0.76
    \">
    0.76
    Activations Density 0.020%

    No Known Activations