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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. 1053
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    Explanations

    words related to excessive or extreme characteristics, potentially with a negative connotation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to socio-economic concepts and categories

    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
     Metatron
    -0.76
     Lub
    -0.73
     showc
    -0.71
     TEXT
    -0.68
    HAHA
    -0.64
     Cong
    -0.63
     Ack
    -0.63
     outbreak
    -0.61
    ebin
    -0.61
    EStream
    -0.61
    POSITIVE LOGITS
    cling
    0.94
    eteen
    0.93
    phrine
    0.87
    atinum
    0.86
    apore
    0.86
    ice
    0.85
    vernment
    0.84
    age
    0.83
    eln
    0.82
    iety
    0.80
    Activations Density 0.031%

    No Known Activations