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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. 11-RES-JB
    11. 2486
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    Explanations

    phrases indicating potential harm or damage in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating harm or negative consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -1.03
    ãĥ¯ãĥ³
    -0.73
    igne
    -0.70
    hent
    -0.69
    opus
    -0.69
    rette
    -0.68
    sbm
    -0.67
    */(
    -0.66
    erred
    -0.65
    aram
    -0.65
    POSITIVE LOGITS
     morale
    1.22
     society
    1.12
     competitiveness
    1.03
     productivity
    1.02
     economies
    1.01
     humankind
    1.01
     consumers
    1.00
     humanity
    0.99
     democracy
    0.98
     taxpayers
    0.98
    Activations Density 0.252%

    No Known Activations