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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. 11-RES-JB
    11. 11749
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    Explanations

    phrases related to writing about specific topics or issues

    oai_token-act-pair · gpt-3.5-turbo

    references to writing and discussing important societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     âĢİ
    -0.69
     hindsight
    -0.58
     chalk
    -0.56
     bluff
    -0.55
     curs
    -0.54
     Miy
    -0.52
     assurances
    -0.51
     cob
    -0.51
     glance
    -0.51
     Blanc
    -0.51
    POSITIVE LOGITS
     millenn
    0.66
    uncture
    0.62
    APD
    0.61
    cedented
    0.61
    hate
    0.61
     Race
    0.60
     Nation
    0.59
    hemy
    0.59
    ocide
    0.56
    iverpool
    0.56
    Activations Density 0.064%

    No Known Activations