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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. 1-RES-JB
    6. 8495
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    Explanations

    phrases related to unspecified or to-be-determined information

    oai_token-act-pair · gpt-3.5-turbo

    terms related to unknown entities or statuses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    grain
    -0.83
    tons
    -0.81
    romy
    -0.77
    Cooldown
    -0.77
    APH
    -0.77
    mean
    -0.77
    floor
    -0.77
    anon
    -0.76
    iven
    -0.76
    nas
    -0.74
    POSITIVE LOGITS
    ecided
    0.92
    theless
    0.88
     Turtle
    0.79
     TBD
    0.76
     Guam
    0.74
    ulhu
    0.72
     Hurricanes
    0.71
     Valkyrie
    0.68
    TION
    0.68
     Hedge
    0.66
    Activations Density 0.016%

    No Known Activations