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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. 10-RES-JB
    11. 23513
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    Explanations

    references to criminal activities, especially related to organized crime

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "mob" or organized crime

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ++++++++++++++++
    -0.70
    ANCE
    -0.70
    ational
    -0.69
    éĸ
    -0.68
    TPPStreamerBot
    -0.66
     Tire
    -0.60
     Zeit
    -0.60
    ______
    -0.59
     Wonderland
    -0.58
    ŃĶ
    -0.57
    POSITIVE LOGITS
    iles
    1.20
    sters
    1.08
    bing
    1.02
    ster
    1.00
    olean
    0.98
    iliar
    0.98
    ilities
    0.95
    ilit
    0.94
     mentality
    0.92
    ilian
    0.91
    Activations Density 0.032%

    No Known Activations