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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. 9-RES-JB
    11. 17683
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    Explanations

    phrases related to political ideologies and movements, specifically those on the extreme or unconventional ends

    oai_token-act-pair · gpt-3.5-turbo

    periods, particularly at the end of sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.88
     currently
    -0.74
    ogene
    -0.73
     compet
    -0.73
     averages
    -0.72
     pronoun
    -0.70
     shark
    -0.69
     prosec
    -0.69
     intends
    -0.68
     will
    -0.67
    POSITIVE LOGITS
     Eventually
    1.45
     Then
    1.33
     Later
    1.25
     Suddenly
    1.25
     Was
    1.22
     Ultimately
    1.21
     Instead
    1.21
     Initially
    1.20
     Afterwards
    1.20
     Soon
    1.17
    Activations Density 0.615%

    No Known Activations