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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. 2246
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    Explanations

    phrases with assertive or sarcastic tones

    oai_token-act-pair · gpt-3.5-turbo

    punctuations and sentence endings

    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
     widow
    -0.82
    iband
    -0.79
     warr
    -0.74
    ffield
    -0.72
     sleeper
    -0.69
    cipled
    -0.69
     brid
    -0.69
     advoc
    -0.68
     kettle
    -0.68
     util
    -0.67
    POSITIVE LOGITS
     Especially
    1.30
     Because
    1.25
     Turns
    1.14
     Written
    1.13
     Except
    1.13
     Specifically
    1.12
     ;)
    1.10
     Which
    1.09
     Literally
    1.08
    <|endoftext|>
    1.06
    Activations Density 0.572%

    No Known Activations