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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. 10-RES-JB
    11. 23306
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of commas in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.79
    FTWARE
    -0.64
    LOAD
    -0.62
    Reward
    -0.60
    estern
    -0.59
     Forced
    -0.58
    zag
    -0.58
    Zone
    -0.58
    Newsletter
    -0.58
    forest
    -0.58
    POSITIVE LOGITS
     alas
    1.29
     unsurprisingly
    1.27
     moreover
    1.12
     understandably
    1.11
     unfortunately
    1.11
     indeed
    1.09
     therefore
    1.08
     thankfully
    1.07
     frankly
    1.06
     ironically
    1.05
    Activations Density 0.077%

    No Known Activations