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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. 7-RES-JB
    11. 11263
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    INDEX
    Explanations

    names of individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igans
    -0.79
    appointed
    -0.78
    change
    -0.75
    arently
    -0.74
    ileaks
    -0.74
    ARY
    -0.73
    izable
    -0.73
     Sachs
    -0.72
    aged
    -0.70
    arag
    -0.69
    POSITIVE LOGITS
    inant
    0.72
     Lub
    0.70
    âĺħâĺħ
    0.69
    %%%%
    0.67
     Mechdragon
    0.62
     Munich
    0.61
     Ferdinand
    0.61
     deviation
    0.60
    inately
    0.59
     Kub
    0.59
    Activations Density 0.090%

    No Known Activations