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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. 3-RES-JB
    11. 23682
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    oai_token-act-pair · gpt-3.5-turbo

    references to profanity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    warm
    -0.85
    20439
    -0.81
    MENTS
    -0.79
    wolves
    -0.78
    forth
    -0.77
    wolf
    -0.71
    nuts
    -0.70
    wright
    -0.69
     Nebula
    -0.69
    merga
    -0.67
    POSITIVE LOGITS
     prof
    1.12
    iles
    1.06
    iled
    1.05
    essor
    1.04
    iler
    1.04
    essors
    0.95
    usion
    0.95
    ilers
    0.94
    ession
    0.92
    aned
    0.91
    Activations Density 0.009%

    No Known Activations