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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. 12576
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    Explanations

    references to the Wikimedia Foundation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Wikimedia Foundation and related entities

    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
    ãģ®éŃĶ
    -0.80
    ogl
    -0.79
    ered
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    ifying
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    rous
    -0.74
    anooga
    -0.74
    ded
    -0.74
    ele
    -0.73
    oise
    -0.72
    yrinth
    -0.72
    POSITIVE LOGITS
     Wikimedia
    0.88
    ————————
    0.76
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    0.75
    ————
    0.74
    conservancy
    0.70
    ################
    0.69
    conserv
    0.67
    creen
    0.66
    ;;;;;;;;;;;;
    0.66
    cano
    0.65
    Activations Density 0.018%

    No Known Activations