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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. 10045
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    INDEX
    Explanations

    statements indicating approval or disapproval

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating necessity or obligation

    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
    Not in Any Lists

    No Comments

    Negative Logits
    culus
    -0.77
    ukemia
    -0.74
    culosis
    -0.70
    aido
    -0.69
    miah
    -0.65
    adelphia
    -0.65
    ÃŃa
    -0.64
    raviolet
    -0.64
    vation
    -0.63
    odcast
    -0.62
    POSITIVE LOGITS
     therefore
    1.16
     consequently
    1.11
     accordingly
    0.94
     deserve
    0.86
    ":"/
    0.78
     contribute
    0.76
     deserving
    0.74
     deserves
    0.72
    should
    0.71
     alike
    0.71
    Activations Density 0.381%

    No Known Activations