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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. 9-RES-JB
    11. 2585
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    Explanations

    specific programming languages or tools

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating conditions or states of being

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "},
    -0.73
    \\\\\\\\
    -0.71
    izable
    -0.66
    Stats
    -0.66
    izations
    -0.65
    pedia
    -0.64
    APD
    -0.64
    burgh
    -0.63
     Amendments
    -0.63
     Scenes
    -0.62
    POSITIVE LOGITS
     interested
    1.28
     lucky
    1.24
     unsure
    1.22
     wondering
    1.19
     unlucky
    1.16
     fortunate
    1.11
     willing
    1.09
     tempted
    1.08
     inclined
    1.06
     planning
    1.03
    Activations Density 0.094%

    No Known Activations