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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 18010
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    Explanations

    phrases starting with 'that' which are often used to introduce reported speech or thoughts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "that" and its associated phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aceae
    -0.71
    raq
    -0.70
    estones
    -0.67
    emis
    -0.67
    osures
    -0.67
    neau
    -0.66
    onomic
    -0.63
    zman
    -0.63
    ggles
    -0.62
    ante
    -0.62
    POSITIVE LOGITS
     "[
    0.87
     whoever
    0.85
     '[
    0.84
     he
    0.82
     "...
    0.79
     they
    0.78
     "â̦
    0.78
     if
    0.77
     sounded
    0.74
    nob
    0.74
    Activations Density 0.252%

    No Known Activations