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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10145
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    Explanations

    things that have been introduced or unveiled to the public for the first time, like debuts and premieres

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to the release or debut of films, shows, and products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GO
    -0.71
    outer
    -0.68
    ija
    -0.68
    agh
    -0.65
    esthetic
    -0.65
    productive
    -0.63
    uro
    -0.62
    minecraft
    -0.61
    psy
    -0.61
    die
    -0.60
    POSITIVE LOGITS
    nesday
    0.92
    éĹĺ
    0.89
    eatures
    0.87
     prominently
    0.77
     premiered
    0.77
     theat
    0.69
    interstitial
    0.69
    DEF
    0.68
     balloons
    0.68
    YR
    0.68
    Activations Density 0.014%

    No Known Activations