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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. 15216
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    discussions related to governance and policy

    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
    etheless
    -0.75
    ))))
    -0.69
    ''.
    -0.67
    )))
    -0.63
    Others
    -0.59
    ?ãĢį
    -0.58
    Redditor
    -0.58
    soType
    -0.58
     )))
    -0.58
    .''.
    -0.58
    POSITIVE LOGITS
     initially
    0.47
     initial
    0.46
     horrend
    0.42
     foundational
    0.40
     predominant
    0.39
     predomin
    0.39
     introductory
    0.39
     primary
    0.38
     cradle
    0.38
     premise
    0.38
    Activations Density 2.394%

    No Known Activations