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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. 13233
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    oai_token-act-pair · gpt-3.5-turbo

    instances of empty or blank content

    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
     glim
    -0.63
     cradle
    -0.60
     challeng
    -0.60
     stranger
    -0.58
     flakes
    -0.58
     worm
    -0.57
     masse
    -0.57
     shaved
    -0.56
     awake
    -0.56
     sleeper
    -0.56
    POSITIVE LOGITS
     However
    1.05
     Specifically
    1.03
     They
    1.02
     Therefore
    1.02
     Though
    1.01
     Secondly
    1.00
     These
    1.00
     Hence
    0.99
     Unfortunately
    0.99
     Whilst
    0.99
    Activations Density 0.443%

    No Known Activations