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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. 14587
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    INDEX
    Explanations

    descriptions of events or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing curiosity or inquiry about future events or consequences

    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
    ament
    -0.79
    cius
    -0.78
    serv
    -0.75
    mens
    -0.74
    stra
    -0.74
    ilts
    -0.74
    isha
    -0.71
    way
    -0.71
    travel
    -0.69
    ways
    -0.69
    POSITIVE LOGITS
    uate
    0.87
     unfolding
    0.77
     unfold
    0.77
    uating
    0.73
     next
    0.72
     Ambro
    0.72
     Sack
    0.70
     AFTER
    0.69
     transpired
    0.69
     afterwards
    0.67
    Activations Density 0.035%

    No Known Activations