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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 15353
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     toget
    -0.64
     envy
    -0.61
     unequ
    -0.61
     increment
    -0.60
    manship
    -0.60
     profiling
    -0.60
     lapse
    -0.57
    icles
    -0.56
    ALLY
    -0.56
     tails
    -0.55
    POSITIVE LOGITS
    tein
    0.83
    eele
    0.79
    arde
    0.74
    pta
    0.74
    schild
    0.73
    uve
    0.72
     Meadows
    0.72
    eve
    0.72
    enegger
    0.71
    arson
    0.70
    Activations Density 0.227%

    No Known Activations