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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. 11-RES-JB
    11. 11067
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    Explanations

    phrases related to physical damage or breaking

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to breaks and physical injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gur
    -0.81
    Magikarp
    -0.80
     Greenwood
    -0.73
    gur
    -0.73
    comed
    -0.71
    Gall
    -0.70
    urs
    -0.70
     Aman
    -0.70
    Urban
    -0.70
    unny
    -0.70
    POSITIVE LOGITS
     break
    2.13
     Break
    2.00
     breaks
    1.83
    break
    1.79
     broken
    1.78
    Break
    1.77
     broke
    1.74
     breaking
    1.74
     Breaking
    1.70
     breaker
    1.65
    Activations Density 0.261%

    No Known Activations