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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. 6-RES-JB
    11. 7849
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    Explanations

    words related to legal or government actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases containing a specific repeated character or symbol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ropes
    -0.76
     tyres
    -0.75
     condem
    -0.75
     vulner
    -0.74
     scissors
    -0.73
     apes
    -0.72
     tides
    -0.70
     grips
    -0.70
     clitor
    -0.68
     virginity
    -0.67
    POSITIVE LOGITS
    ï¸ı
    1.29
    âĶĢâĶĢ
    1.14
    conom
    0.95
    STER
    0.85
    °
    0.83
    uthor
    0.83
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.82
    cffffcc
    0.80
    ACP
    0.78
    \-
    0.77
    Activations Density 0.143%

    No Known Activations