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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. 11-RES-JB
    11. 2678
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    Explanations

    phrases related to chemical reactions and laboratory procedures

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to scientific processes and reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     typo
    -0.74
     contradicted
    -0.73
     misunderstand
    -0.69
    haven
    -0.69
     outwe
    -0.67
     cite
    -0.66
     downright
    -0.66
    sorry
    -0.65
     headlined
    -0.65
     gone
    -0.64
    POSITIVE LOGITS
     Afterwards
    1.31
    Once
    1.18
    then
    1.07
     Once
    1.00
     Then
    0.98
     afterwards
    0.95
    Eventually
    0.95
    Each
    0.94
    Alternatively
    0.91
     then
    0.91
    Activations Density 0.404%

    No Known Activations