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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. 23595
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    instances of the character "ľ" 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
     tyres
    -0.85
     pigeon
    -0.78
     incorpor
    -0.77
     organisers
    -0.72
     arous
    -0.72
     phenomen
    -0.72
     manif
    -0.71
     advis
    -0.69
     machines
    -0.69
     intersections
    -0.69
    POSITIVE LOGITS
    ï¸ı
    1.54
    âĶĢâĶĢ
    1.28
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    1.08
    âķIJâķIJ
    1.02
    âĶĢâĶĢâĶĢâĶĢ
    1.00
    âĸł
    0.98
    âĢ
    0.98
    ccording
    0.96
    ï¸
    0.96
    ICE
    0.93
    Activations Density 0.142%

    No Known Activations