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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. 12364
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    Explanations

    positive adjectives describing various aspects of things

    oai_token-act-pair · gpt-3.5-turbo

    positive descriptors and expressions of quality in reviews

    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
    pta
    -0.79
    ebin
    -0.77
    elsen
    -0.77
    iatus
    -0.77
     Retrieved
    -0.75
    izen
    -0.70
    ļéĨĴ
    -0.69
    pec
    -0.67
    thood
    -0.67
    ime
    -0.67
    POSITIVE LOGITS
     albeit
    1.19
     but
    1.13
     although
    1.10
     especially
    1.10
     except
    0.98
     though
    0.97
     despite
    0.94
    albeit
    0.93
    especially
    0.92
     regardless
    0.87
    Activations Density 0.258%

    No Known Activations