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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. 11-RES-JB
    6. 4379
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    Explanations

    phrases related to career paths or achievements

    oai_token-act-pair · gpt-3.5-turbo

    key concepts related to progress, challenges, and success in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )",
    -0.71
    )"
    -0.69
    ?",
    -0.66
     tyr
    -0.61
     PSP
    -0.60
    theless
    -0.58
     Maced
    -0.58
    ]"
    -0.58
     Kush
    -0.55
     Newark
    -0.55
    POSITIVE LOGITS
    âĢ
    1.57
    *:
    1.14
    âĢł
    1.14
     âĢ
    1.12
    .*
    1.08
    *.
    1.05
    .:
    1.03
    âĦ¢:
    1.02
    %:
    1.01
    .�
    0.97
    Activations Density 1.217%

    No Known Activations