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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. 10-RES-JB
    6. 7395
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    Explanations

    phrases related to approval or authorization

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate standards or norms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Disciple
    -0.63
    ierre
    -0.61
    HAEL
    -0.59
     Pend
    -0.59
     srfAttach
    -0.58
     Dickinson
    -0.58
     Drivers
    -0.58
     Divinity
    -0.57
    ATTLE
    -0.56
     Vaughn
    -0.56
    POSITIVE LOGITS
    ahead
    1.17
    bet
    0.93
    ither
    0.90
    gettable
    0.88
    between
    0.86
    around
    0.86
    along
    0.83
    too
    0.81
    round
    0.80
    cart
    0.80
    Activations Density 0.034%

    No Known Activations