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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. 2-RES-JB
    11. 15497
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    Explanations

    references to specific names, potentially related to wildlife

    oai_token-act-pair · gpt-3.5-turbo

    mentions of names related to bears and specific wildlife or natural themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    strate
    -0.83
     CODE
    -0.77
    Interstitial
    -0.75
    phia
    -0.74
    ulton
    -0.71
    ibaba
    -0.70
    metry
    -0.70
    stration
    -0.68
    tsky
    -0.68
    Machine
    -0.67
    POSITIVE LOGITS
    ulas
    0.85
    enhagen
    0.84
    leness
    0.81
    nian
    0.80
    uous
    0.79
    alos
    0.78
    eness
    0.77
    lers
    0.76
    etsk
    0.76
     Ruff
    0.74
    Activations Density 0.012%

    No Known Activations