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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. 4951
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    Explanations

    phrases related to washing or covering objects with substances

    oai_token-act-pair · gpt-3.5-turbo

    instructions related to washing and preparing food items

    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
    verages
    -0.72
     careers
    -0.68
    boxing
    -0.65
    ategories
    -0.65
    esity
    -0.63
     headlined
    -0.63
    berman
    -0.63
    ences
    -0.63
    enary
    -0.62
     similarities
    -0.62
    POSITIVE LOGITS
     water
    1.11
     vinegar
    1.10
     boiling
    1.02
     soap
    1.02
     saline
    1.00
     olive
    0.99
     distilled
    0.98
     shampoo
    0.97
     bleach
    0.95
     rubbing
    0.95
    Activations Density 0.117%

    No Known Activations