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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. 8-RES-JB
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    Explanations

    proper nouns related to a specific region or place, particularly Bayern Munich

    oai_token-act-pair · gpt-3.5-turbo

    references to Bayern Munich and associated terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     juice
    -0.67
    verage
    -0.65
    esthetic
    -0.64
    vernment
    -0.63
    umbnails
    -0.63
    lear
    -0.62
    owder
    -0.62
    usher
    -0.61
    rieve
    -0.61
    ality
    -0.61
    POSITIVE LOGITS
     Munich
    1.25
     Mü
    0.94
    sburg
    0.86
    enance
    0.82
    ÃĽ
    0.79
    deen
    0.75
     Bam
    0.75
     Fischer
    0.72
     Bav
    0.71
    ity
    0.70
    Activations Density 0.066%

    No Known Activations