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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 1575
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    INDEX
    Explanations

    important things to take note of or be aware of in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the necessity or importance of noting, learning, or being mindful of certain information

    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
    tur
    -0.73
    Publisher
    -0.65
    nic
    -0.65
     helicop
    -0.63
    olor
    -0.63
    opath
    -0.62
     horizont
    -0.62
    entric
    -0.59
    TED
    -0.58
     coerced
    -0.57
    POSITIVE LOGITS
     consider
    1.35
     ponder
    1.10
     beware
    1.09
     mention
    1.02
     aware
    1.02
     watch
    1.00
     remember
    0.99
     heed
    0.98
     note
    0.97
     worry
    0.94
    Activations Density 0.114%

    No Known Activations