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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. 4-RES-JB
    11. 24080
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    Explanations

    phrases related to intense focus or attention

    oai_token-act-pair · gpt-3.5-turbo

    the term "intensity" in various contexts

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

    No Comments

    Negative Logits
    hyde
    -0.91
    wagen
    -0.90
    Reviewer
    -0.79
    awaru
    -0.77
    buster
    -0.75
    ĸļ
    -0.72
    SHIP
    -0.71
    Train
    -0.69
    hare
    -0.69
    bial
    -0.68
    POSITIVE LOGITS
    ention
    1.06
    ellect
    1.00
    itial
    0.99
    ensions
    0.98
    ended
    0.94
    ension
    0.90
    ensity
    0.89
    ensive
    0.89
    ract
    0.88
    ented
    0.87
    Activations Density 0.013%

    No Known Activations