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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. 7132
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    Explanations

    phrases related to comparison or analysis

    oai_token-act-pair · gpt-3.5-turbo

    topics related to social and public issues

    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
    ylon
    -0.76
     Rouge
    -0.74
    ileaks
    -0.72
    uge
    -0.72
    emate
    -0.71
    achus
    -0.69
     Zup
    -0.69
    erva
    -0.68
    renheit
    -0.68
     Exile
    -0.67
    POSITIVE LOGITS
     factors
    1.84
     traits
    1.57
     qualities
    1.57
     aspects
    1.55
     virtues
    1.53
     facets
    1.52
     variables
    1.50
     attributes
    1.46
     things
    1.44
     characteristics
    1.43
    Activations Density 0.644%

    No Known Activations