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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. 7-RES-JB
    11. 7966
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    Explanations

    words related to requesting or asking for something, especially in a proactive manner

    oai_token-act-pair · gpt-3.5-turbo

    terms related to solicitation and illegal financial activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GER
    -0.74
     Miko
    -0.67
     Hug
    -0.67
     Stress
    -0.64
     Benedict
    -0.64
    sburg
    -0.63
    proof
    -0.63
    shield
    -0.63
     Died
    -0.62
    isf
    -0.61
    POSITIVE LOGITS
     bribes
    1.11
    eering
    0.97
     bargain
    0.90
     bribery
    0.89
     trade
    0.89
     pedd
    0.89
     selling
    0.89
     extortion
    0.87
     solicit
    0.87
     lucrative
    0.86
    Activations Density 0.152%

    No Known Activations