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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. 4-RES-JB
    11. 24075
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    Explanations

    mentions of voluntary actions related to helping others

    oai_token-act-pair · gpt-3.5-turbo

    specific proper nouns or names

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

    Negative Logits
     âĶĤ
    -0.73
    ardless
    -0.68
    Roaming
    -0.68
    jriwal
    -0.68
    DonaldTrump
    -0.65
     Released
    -0.65
    ilant
    -0.64
    bral
    -0.64
    aunted
    -0.63
     Forced
    -0.63
    POSITIVE LOGITS
    pedia
    0.75
     pickups
    0.68
     pol
    0.62
    erial
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    bury
    0.61
     stations
    0.59
    pher
    0.58
     hikes
    0.58
     cob
    0.57
     sentiment
    0.57
    Activations Density 0.000%

    No Known Activations