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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. 12-RES-JB
    11. 4998
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    Explanations

    references to lists or bullet points

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to specific locations or context within the text

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    æµ
    -0.66
    STON
    -0.65
    eria
    -0.65
    antine
    -0.64
    SHARE
    -0.61
    tons
    -0.60
    sticks
    -0.60
    ully
    -0.59
    adays
    -0.59
    ecast
    -0.58
    POSITIVE LOGITS
     bottom
    1.56
     end
    1.29
     top
    1.29
     beginning
    1.20
     outset
    1.17
    bottom
    1.08
     conclusion
    1.00
     start
    0.97
     END
    0.95
     ends
    0.94
    Activations Density 0.098%

    No Known Activations