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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. 21495
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    Explanations

    phrases related to online or digital content belonging to the user or viewer

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Your"

    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
    itud
    -0.68
    aneers
    -0.66
    trak
    -0.65
     Strauss
    -0.65
    ilts
    -0.64
    rix
    -0.64
    ega
    -0.64
    Lago
    -0.63
    forth
    -0.63
    raq
    -0.63
    POSITIVE LOGITS
     mileage
    1.09
     own
    1.07
     favorite
    1.03
     favourite
    1.02
     browser
    0.92
     choice
    0.90
    ths
    0.88
    selves
    0.87
     fingertips
    0.86
     imagination
    0.83
    Activations Density 0.101%

    No Known Activations