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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. 22699
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to collaboration or teamwork

    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
    Not in Any Lists

    No Comments

    Negative Logits
    proof
    -0.66
     Flavoring
    -0.62
    arer
    -0.62
    void
    -0.58
    grim
    -0.58
     unanswered
    -0.56
    den
    -0.55
    enery
    -0.55
    closure
    -0.55
    adequ
    -0.54
    POSITIVE LOGITS
     together
    0.96
     seamlessly
    0.84
    arnaev
    0.84
     partner
    0.81
     partners
    0.81
     against
    0.79
     teamed
    0.78
    ãĤ°
    0.75
     with
    0.74
     toget
    0.74
    Activations Density 0.109%

    No Known Activations