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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. 3679
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    Explanations

    the names of Twitter users

    oai_token-act-pair · gpt-3.5-turbo

    the names of individuals often associated with social media handles

    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
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    No Comments

    Negative Logits
     '.
    -0.78
     ',
    -0.76
     passage
    -0.74
     captcha
    -0.71
     differe
    -0.71
     dispers
    -0.71
     overturn
    -0.69
     inclusion
    -0.69
     crystall
    -0.69
     satisfying
    -0.67
    POSITIVE LOGITS
    )
    1.47
    Jr
    1.16
    )!
    1.15
    )"
    1.13
    /)
    1.10
    )...
    1.06
    _
    1.05
    ),
    1.03
    )</
    1.02
    )(
    1.00
    Activations Density 0.057%

    No Known Activations