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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. 23299
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    INDEX
    Explanations

    phrases indicating determination or intention

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the concept of "going" or movement towards a specific action or event

    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
    aples
    -0.68
    evin
    -0.65
    cius
    -0.63
     Recap
    -0.61
    ubric
    -0.60
    auer
    -0.59
    illi
    -0.59
    archives
    -0.58
    atto
    -0.58
    perhaps
    -0.56
    POSITIVE LOGITS
     anywhere
    1.23
     anymore
    0.96
     overboard
    0.85
     slightest
    0.81
     nor
    0.78
     anytime
    0.78
     unnoticed
    0.78
     whatsoever
    0.75
     lightly
    0.74
     any
    0.72
    Activations Density 0.053%

    No Known Activations