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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. 24065
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    Explanations

    words related to politics and societal issues

    oai_token-act-pair · gpt-3.5-turbo

    the character 'Ŀ'

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     scattering
    -0.72
     proport
    -0.67
     Mobil
    -0.66
     myster
    -0.66
    seless
    -0.64
     Negro
    -0.63
     ende
    -0.63
     incorpor
    -0.63
     notor
    -0.62
     Gaul
    -0.61
    POSITIVE LOGITS
    ¯
    1.05
    ï¸ı
    1.02
    ef
    0.87
    #$
    0.82
    efe
    0.82
    Tea
    0.81
    nit
    0.81
    s
    0.79
    sed
    0.79
    cause
    0.77
    Activations Density 0.146%

    No Known Activations