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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. 1-RES-JB
    11. 6832
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    INDEX
    Explanations

    exclamatory expressions conveying positive emotions

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory punctuation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atories
    -0.89
    lining
    -0.69
     path
    -0.69
    aced
    -0.68
    lying
    -0.67
    athering
    -0.67
    atory
    -0.66
     Ley
    -0.66
     eb
    -0.65
    ativity
    -0.63
    POSITIVE LOGITS
    !!!!!
    1.25
    !!
    1.24
    !!!
    1.21
    ?!
    1.10
     :-)
    1.08
    !!!!
    1.03
     :)
    1.01
     !!
    1.01
    @#&
    1.01
     ;)
    1.00
    Activations Density 0.009%

    No Known Activations