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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. 6-RES-JB
    11. 7255
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    Explanations

    technical terms related to information dissemination and data management

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to communication, information, and significant factors in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     IPM
    -0.70
    CHAT
    -0.68
    lua
    -0.67
    hua
    -0.65
    iasis
    -0.64
     Charity
    -0.62
     Beware
    -0.62
     MMR
    -0.62
    pload
    -0.61
     Missile
    -0.61
    POSITIVE LOGITS
     besides
    1.04
    worldly
    0.97
     alike
    0.83
     than
    0.78
    soever
    0.74
     forms
    0.72
     factors
    0.72
     whatsoever
    0.71
     related
    0.71
     pursuits
    0.69
    Activations Density 0.264%

    No Known Activations