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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. 24011
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to online content and historical contexts

    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
    pires
    -0.73
     its
    -0.69
     Its
    -0.62
    Its
    -0.58
     sees
    -0.57
     sits
    -0.55
     spends
    -0.52
     wants
    -0.51
     sucks
    -0.49
    Hop
    -0.49
    POSITIVE LOGITS
     pertaining
    0.94
     totaling
    0.90
    that
    0.88
     indicating
    0.86
     ranging
    0.85
     relating
    0.84
    ranging
    0.82
     that
    0.80
     themselves
    0.79
     respectively
    0.78
    Activations Density 0.685%

    No Known Activations