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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. 18579
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    Explanations

    numbers within sentences alongside various forms of punctuation

    oai_token-act-pair · gpt-3.5-turbo

    references to research and inquiry

    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
     Canaver
    -0.57
     aerobic
    -0.55
     Lyons
    -0.54
     Guatem
    -0.54
     Mous
    -0.54
     laboratory
    -0.53
     PowerPoint
    -0.53
     Osc
    -0.53
     Huntington
    -0.52
     mathemat
    -0.52
    POSITIVE LOGITS
    âĢ
    1.30
    îĢ
    1.26
    [/
    1.20
    âĶ
    1.18
     âĶĤ
    1.17
    âĸł
    1.15
     âĢ
    1.12
     **
    1.09
    âĺ
    1.08
     ðŁij
    1.08
    Activations Density 2.998%

    No Known Activations