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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. 23322
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    INDEX
    Explanations

    verbs suggesting action or change

    oai_token-act-pair · gpt-3.5-turbo

    elements related to media consumption and assessment

    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
    ©¶æ
    -0.73
     )]
    -0.59
    çīĪ
    -0.57
     Emanuel
    -0.55
    )]
    -0.55
     Reconstruction
    -0.52
     resumed
    -0.52
     Janeiro
    -0.52
    ģ«
    -0.52
    ropolitan
    -0.52
    POSITIVE LOGITS
     anyways
    1.13
     ;)
    1.03
     :)
    1.03
     regardless
    1.02
     unless
    1.01
     ASAP
    1.01
     haha
    1.01
    .
    0.97
    !.
    0.97
     BUT
    0.96
    Activations Density 0.702%

    No Known Activations