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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. 22527
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    Explanations

    terms related to illicit activities or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to illicit activities or 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
    lished
    -0.83
    ding
    -0.79
    \\\\\\\\\\\\\\\\
    -0.76
    é¾įå¥ij士
    -0.75
    EStream
    -0.74
    =-=-=-=-=-=-=-=-
    -0.71
    è¦ļéĨĴ
    -0.71
    */(
    -0.68
    è¯
    -0.68
    ICAN
    -0.66
    POSITIVE LOGITS
    inois
    1.47
    uminati
    1.31
    ustration
    1.13
    awar
    1.12
    usions
    1.07
    nesses
    1.01
    umin
    1.00
    icit
    0.99
    Ill
    0.94
    ibrary
    0.93
    Activations Density 0.007%

    No Known Activations