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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. 8596
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    Explanations

    percentage values mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    percentage data in the text

    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
    ãĤ©
    -0.60
    elf
    -0.58
    pecially
    -0.57
    Keys
    -0.56
     Rav
    -0.56
     compan
    -0.55
    stru
    -0.55
     cru
    -0.55
     dispens
    -0.54
    itiz
    -0.53
    POSITIVE LOGITS
    +.
    0.98
     ABV
    0.90
    +)
    0.88
    +,
    0.83
    xual
    0.81
    âĨij
    0.75
    imates
    0.74
    -+
    0.74
    ablishment
    0.70
    +
    0.70
    Activations Density 0.059%

    No Known Activations