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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. 563
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    Explanations

    instances where people are actively participating or engaging in different activities or discussions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to participation and involvement 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
    icons
    -0.73
    ãĤ©
    -0.68
    sers
    -0.68
    icates
    -0.68
    plets
    -0.66
    isSpecialOrderable
    -0.66
     testers
    -0.65
    ographers
    -0.65
    Äį
    -0.63
     atoms
    -0.63
    POSITIVE LOGITS
     affairs
    0.96
     manner
    0.85
     fray
    0.83
     arrang
    0.83
     process
    0.82
     negotiations
    0.80
     reconstruction
    0.78
     upkeep
    0.76
     proceedings
    0.76
     fundraising
    0.76
    Activations Density 0.376%

    No Known Activations