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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. 16493
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    Explanations

    dates or years

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "when" indicating time-related phrases

    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
    unch
    -0.71
    interpret
    -0.71
    agin
    -0.70
    ply
    -0.63
    ictive
    -0.62
    boot
    -0.61
    nut
    -0.59
    min
    -0.58
    pair
    -0.58
    lig
    -0.58
    POSITIVE LOGITS
    soever
    1.26
    irlf
    0.89
    quickShipAvailable
    0.81
    _-
    0.77
    upon
    0.76
     faced
    0.72
     confronted
    0.72
    abouts
    0.68
     they
    0.67
    inois
    0.65
    Activations Density 0.091%

    No Known Activations