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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. 707
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    Explanations

    phrases indicating additional information or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate additional information or context

    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
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    No Comments

    Negative Logits
    venge
    -0.72
    ggles
    -0.70
    iste
    -0.66
    bis
    -0.64
    \\\\\\\\
    -0.63
     Founders
    -0.63
    aah
    -0.62
    anos
    -0.62
    der
    -0.60
    boys
    -0.60
    POSITIVE LOGITS
     thereto
    1.19
     to
    0.85
    ract
    0.74
    teness
    0.71
    ivity
    0.67
    ively
    0.66
    heid
    0.66
    ombat
    0.65
     ot
    0.63
    igm
    0.63
    Activations Density 0.027%

    No Known Activations