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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. 7-RES-JB
    11. 7934
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    INDEX
    Explanations

    phrases indicating a statement of belief or opinion

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate negation or disagreement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.78
     Strategies
    -0.68
     Journalism
    -0.66
     Inventory
    -0.65
    istries
    -0.65
    riad
    -0.64
     Telephone
    -0.63
     Catalog
    -0.61
    anmar
    -0.59
    ortex
    -0.59
    POSITIVE LOGITS
    epad
    1.07
    hin
    0.90
     necessarily
    0.87
    ched
    0.76
     depending
    0.75
    eworthy
    0.73
     depends
    0.71
     anymore
    0.70
    etheless
    0.70
     yet
    0.69
    Activations Density 0.016%

    No Known Activations