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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. 14106
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    INDEX
    Explanations

    positively and negatively valenced adjectives related to quality or desirability

    oai_token-act-pair · gpt-3.5-turbo

    terms expressing negative evaluations or criticisms

    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
    BILITIES
    -0.64
    inders
    -0.60
    YES
    -0.58
     Gorge
    -0.57
     unknow
    -0.55
    Yep
    -0.54
     unmist
    -0.52
     Yep
    -0.52
    rather
    -0.52
     countless
    -0.50
    POSITIVE LOGITS
     anymore
    1.61
     nor
    1.56
     either
    1.38
    nor
    1.08
     Enough
    1.01
     whatsoever
    1.00
     enough
    0.99
    enough
    0.95
     slightest
    0.95
    yet
    0.89
    Activations Density 0.255%

    No Known Activations