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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. 9-RES-JB
    11. 4955
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    INDEX
    Explanations

    mentions of a specific car model

    oai_token-act-pair · gpt-3.5-turbo

    specific model names and classifications related to vehicles and drugs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ossier
    -0.69
    nces
    -0.69
    alty
    -0.69
    Downloadha
    -0.67
    amon
    -0.66
    natureconservancy
    -0.64
    izabeth
    -0.63
    alties
    -0.63
    asin
    -0.62
    overs
    -0.62
    POSITIVE LOGITS
     III
    1.14
     VII
    1.02
     XII
    1.00
     IV
    0.98
     VIII
    0.96
     II
    0.91
     IX
    0.87
     3
    0.86
     4
    0.85
     Unknown
    0.85
    Activations Density 0.148%

    No Known Activations