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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. 20057
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    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases associated with sports and social issues

    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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    Negative Logits
     Isa
    -0.61
     NEC
    -0.61
     Longh
    -0.61
     Advocate
    -0.59
    yssey
    -0.58
     Utt
    -0.58
     accompanying
    -0.58
     outbreak
    -0.58
     Register
    -0.57
    hess
    -0.57
    POSITIVE LOGITS
     stuff
    0.85
    paren
    0.84
     fuckin
    0.83
     versa
    0.80
     nerds
    0.80
     versus
    0.79
     ones
    0.78
     fries
    0.77
     dudes
    0.77
    speak
    0.76
    Activations Density 0.746%

    No Known Activations