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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. 4809
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "The"

    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
    EVA
    -0.98
    AppData
    -0.92
    etsy
    -0.86
    wei
    -0.85
    thood
    -0.84
    Tube
    -0.82
    bourg
    -0.80
    è£
    -0.77
    ère
    -0.75
    soType
    -0.75
    POSITIVE LOGITS
     Sixers
    1.20
     Bucs
    1.20
     Broncos
    1.20
     Pacers
    1.19
     Falcons
    1.19
     Panthers
    1.18
     Cardinals
    1.18
     Wildcats
    1.18
     Eagles
    1.17
     Cowboys
    1.15
    Activations Density 0.291%

    No Known Activations