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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. 6397
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    Explanations

    events or actions in a sequence

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions, particularly the word "and," indicating a focus on connections or additions within 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
    Favorite
    -0.77
    ibble
    -0.76
    utch
    -0.76
    oof
    -0.76
    rared
    -0.75
    ivot
    -0.75
    hack
    -0.74
    conduct
    -0.74
     Own
    -0.74
    ä½ľ
    -0.72
    POSITIVE LOGITS
     there
    0.91
     everyone
    0.91
     replaced
    0.87
     nobody
    0.87
     culminated
    0.83
     thus
    0.82
     prices
    0.81
     consequently
    0.81
     resulted
    0.81
     everybody
    0.81
    Activations Density 0.197%

    No Known Activations