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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. 11-RES-JB
    11. 480
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    Explanations

    sentences conveying well wishes and positive sentiments

    oai_token-act-pair · gpt-3.5-turbo

    expressions of goodwill and encouragement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     captcha
    -0.79
     omission
    -0.77
     pegged
    -0.62
     thresholds
    -0.61
     laughable
    -0.60
     vetoed
    -0.60
     purportedly
    -0.60
     documentaries
    -0.59
     precip
    -0.59
     notor
    -0.58
    POSITIVE LOGITS
    Peace
    1.06
    Che
    1.01
    Happy
    0.94
    ~
    0.92
     Bye
    0.91
    Kind
    0.91
    Until
    0.90
     bye
    0.89
     xx
    0.87
    <|endoftext|>
    0.86
    Activations Density 0.121%

    No Known Activations