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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. 7816
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    Explanations

    phrases related to improvement and cooperation in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to balance and support 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
     looph
    -0.67
     battered
    -0.60
    stall
    -0.58
     condem
    -0.56
     arra
    -0.54
    apego
    -0.52
     sworn
    -0.52
     accuses
    -0.51
     foul
    -0.51
     blot
    -0.50
    POSITIVE LOGITS
     accordingly
    1.05
     instead
    1.00
    instead
    1.00
     easier
    1.00
     quicker
    0.95
     respectively
    0.94
    rather
    0.93
     smoother
    0.91
     alike
    0.91
     :)
    0.90
    Activations Density 0.736%

    No Known Activations