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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. 4-RES-JB
    11. 6347
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    Explanations

    phrases related to people, actions, and decision-making

    oai_token-act-pair · gpt-3.5-turbo

    names and references to individuals and groups, particularly in a political or scientific context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    aughtered
    -0.70
    ventus
    -0.69
     Verd
    -0.65
    yne
    -0.65
    entanyl
    -0.64
    hess
    -0.64
    atever
    -0.64
    irgin
    -0.64
    odox
    -0.63
    agonist
    -0.62
    POSITIVE LOGITS
     sorely
    0.88
    »Ĵ
    0.84
     deem
    0.80
     bestowed
    0.80
     deems
    0.79
     Destination
    0.75
    abouts
    0.74
    ©¶æ¥µ
    0.72
    ãĥ¼ãĥĨ
    0.72
     dearly
    0.72
    Activations Density 0.683%

    No Known Activations