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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. 23543
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    Explanations

    references to famous individuals with epithets like "the sage," "the true," "the most renowned," and their accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    references to notable individuals or figures

    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
     Urug
    -0.74
     Guatem
    -0.70
     Ney
    -0.67
    obos
    -0.64
     Kro
    -0.63
     Monstrous
    -0.62
     Moreno
    -0.61
    Iv
    -0.60
     Blanc
    -0.60
     Uruguay
    -0.60
    POSITIVE LOGITS
    asonable
    0.66
     ancest
    0.65
    hire
    0.65
    vernment
    0.64
    ãĥł
    0.62
    ··
    0.60
    arf
    0.60
    flat
    0.59
    anse
    0.58
    hemy
    0.58
    Activations Density 0.326%

    No Known Activations