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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. 10-RES-JB
    11. 21786
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    Explanations

    phrases related to warnings and safety precautions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to safety and legality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     epit
    -0.59
     perm
    -0.57
     economics
    -0.53
     demands
    -0.52
     motif
    -0.51
     presided
    -0.51
    geist
    -0.51
     Enforcement
    -0.50
     suprem
    -0.50
     migration
    -0.50
    POSITIVE LOGITS
     ILCS
    0.88
    BuyableInstoreAndOnline
    0.78
    çİĭ
    0.74
    æ©
    0.70
    apter
    0.68
    APD
    0.67
    osion
    0.67
    atalie
    0.65
    ulkan
    0.63
    iffin
    0.62
    Activations Density 0.192%

    No Known Activations