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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. 13100
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    Explanations

    personal names or titles

    oai_token-act-pair · gpt-3.5-turbo

    punctuations and dialogue markers in text

    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
    zbollah
    -0.83
    ongyang
    -0.74
    £ı
    -0.71
    tsy
    -0.71
     cannabin
    -0.68
    iphate
    -0.67
    opian
    -0.65
    merga
    -0.65
    oké
    -0.63
    oha
    -0.62
    POSITIVE LOGITS
    Born
    1.00
     Mr
    0.87
     him
    0.86
    Mr
    0.84
    him
    0.83
    He
    0.83
     He
    0.83
     he
    0.82
     Born
    0.81
     Professor
    0.81
    Activations Density 1.199%

    No Known Activations