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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. 12-RES-JB
    11. 4860
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    Explanations

    phrases related to expressing complaints or dissatisfaction

    oai_token-act-pair · gpt-3.5-turbo
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    instances of dissatisfaction or grievances expressed by individuals

    oai_token-act-pair · gpt-4o-mini
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    elta
    -0.65
     Crossing
    -0.61
    instance
    -0.59
    arte
    -0.57
     Refresh
    -0.57
    rics
    -0.57
     Peninsula
    -0.56
    Alternative
    -0.55
    Released
    -0.55
    ione
    -0.55
    POSITIVE LOGITS
     bitterly
    1.38
     loudly
    1.25
     about
    1.11
     incess
    1.06
     aloud
    1.00
     endlessly
    0.94
     angrily
    0.94
     excessively
    0.92
     passionately
    0.86
     vehemently
    0.85
    Activations Density 0.090%

    No Known Activations