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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. 8-RES-JB
    11. 7240
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    INDEX
    Explanations

    expressions of opinions or concerns

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "expressed" indicating opinions or concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Straight
    -0.67
    ctors
    -0.66
    osate
    -0.66
    ade
    -0.63
     Journalists
    -0.63
     Journals
    -0.63
    strap
    -0.63
    é¾įå
    -0.62
    neys
    -0.62
     Disciple
    -0.62
    POSITIVE LOGITS
     displeasure
    1.37
     gratitude
    1.14
     frustration
    1.13
     doubts
    1.12
     remorse
    1.11
     frustrations
    1.11
     concerns
    1.08
     condolences
    1.08
     willingness
    1.06
     sympathy
    1.06
    Activations Density 0.058%

    No Known Activations