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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. 1-RES-JB
    11. 22755
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    INDEX
    Explanations

    phrases related to strong commands or urging

    oai_token-act-pair · gpt-3.5-turbo

    references to encouragement or motivational language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    STEM
    -0.83
     NX
    -0.74
    Square
    -0.68
    Els
    -0.68
     Enterprise
    -0.68
     Fields
    -0.66
     Tune
    -0.66
    Kat
    -0.65
     Brenda
    -0.64
    atis
    -0.64
    POSITIVE LOGITS
     exh
    1.19
    apers
    0.90
    resso
    0.89
    leans
    0.81
    aukee
    0.81
    pired
    0.78
    ange
    0.77
    alls
    0.77
    orney
    0.75
    iment
    0.75
    Activations Density 0.017%

    No Known Activations