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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. 6-RES-JB
    11. 14390
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    Explanations

    expressions of gratitude and appreciation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and appreciation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     retaliation
    -0.65
     immunity
    -0.64
     retali
    -0.64
    )].
    -0.62
     spurious
    -0.62
     bogus
    -0.62
     prosecutions
    -0.62
     intrusion
    -0.61
     withdrawal
    -0.61
     dep
    -0.60
    POSITIVE LOGITS
    ĸļ
    0.75
    acci
    0.71
     âĿ
    0.67
    erella
    0.67
    iverse
    0.64
    nesday
    0.64
    Gaming
    0.63
    ̶
    0.61
    âĸ¬
    0.61
    etsy
    0.60
    Activations Density 1.625%

    No Known Activations