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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. 9-RES-JB
    11. 23114
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a novice or beginner experience in various contexts

    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
    bleacher
    -0.75
     against
    -0.66
     teasp
    -0.64
     execut
    -0.63
    Alert
    -0.62
    ricanes
    -0.61
    bage
    -0.59
     conveyed
    -0.58
    tun
    -0.58
    aptic
    -0.57
    POSITIVE LOGITS
     Wonderland
    0.77
    redo
    0.72
     Awakening
    0.67
     Paradise
    0.66
     Aires
    0.65
    éŃĶ
    0.64
     TTL
    0.63
     fold
    0.61
     EVE
    0.61
    bec
    0.61
    Activations Density 0.163%

    No Known Activations