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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. 2-RES-JB
    6. 22917
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    INDEX
    Explanations

    the name "Kaz" or similar variations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ACTED
    -0.83
    éļ
    -0.71
    ersion
    -0.71
    20439
    -0.70
    aneous
    -0.67
    rollment
    -0.66
    ãĥ¯
    -0.65
     CODE
    -0.65
     Failure
    -0.64
    psons
    -0.64
    POSITIVE LOGITS
     Kaz
    1.06
    amaz
    0.92
    uki
    0.91
    onis
    0.84
    akov
    0.83
    oga
    0.82
    terness
    0.78
    imir
    0.77
    hou
    0.76
    laus
    0.76
    Activations Density 0.005%

    No Known Activations