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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. 8605
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    Explanations

    paragraphs containing dates and names

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports or athletic events

    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
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    Negative Logits
     compliant
    -0.59
    Sov
    -0.54
    soever
    -0.53
     anecd
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    urers
    -0.51
     triv
    -0.51
     continual
    -0.50
     accordingly
    -0.50
    Compat
    -0.50
     itself
    -0.49
    POSITIVE LOGITS
    çĶ°
    0.69
    itone
    0.61
    imeo
    0.59
    buquerque
    0.58
    Picture
    0.56
     vocals
    0.56
     sentenced
    0.56
    ocene
    0.55
     solo
    0.54
     Quote
    0.53
    Activations Density 1.378%

    No Known Activations