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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. 6-RES-JB
    11. 9829
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    Explanations

    phrases where someone is expressing an opinion or making a statement

    oai_token-act-pair · gpt-3.5-turbo

    instances of reported speech or quotations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estern
    -0.74
    ocument
    -0.74
     EDITION
    -0.70
    Spoiler
    -0.68
    ocaust
    -0.67
    andem
    -0.66
    ecast
    -0.66
    etrical
    -0.63
    arius
    -0.62
    AMY
    -0.61
    POSITIVE LOGITS
     afterward
    0.79
     afterwards
    0.78
     accordingly
    0.75
     sarcast
    0.69
     it
    0.66
     contradicted
    0.65
    =]
    0.62
     "...
    0.62
     discouraged
    0.60
     exceptions
    0.59
    Activations Density 0.265%

    No Known Activations