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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. 12618
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    Explanations

    specific mentions of years or dates

    oai_token-act-pair · gpt-3.5-turbo

    information related to sports achievements and statistics

    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
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    Negative Logits
     counselors
    -0.67
    FBI
    -0.64
     detectives
    -0.63
    PATH
    -0.63
     typew
    -0.63
     writers
    -0.62
     Detect
    -0.60
     scanner
    -0.59
    roleum
    -0.58
    ographers
    -0.58
    POSITIVE LOGITS
     qualifiers
    1.22
     qualifier
    1.19
     qualification
    1.05
     semifinals
    1.02
     finals
    1.02
     Qual
    1.01
     Finals
    1.00
     UEFA
    1.00
    finals
    0.98
     qualifying
    0.95
    Activations Density 0.315%

    No Known Activations