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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. 3-RES-JB
    11. 16033
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to team collaboration and organizational structure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    croft
    -0.71
     gas
    -0.62
     gib
    -0.61
     stalk
    -0.61
    ï¸
    -0.61
     torment
    -0.61
     mug
    -0.60
    Pic
    -0.60
     spur
    -0.59
    cru
    -0.58
    POSITIVE LOGITS
    ngth
    0.83
    lishes
    0.77
     headquartered
    0.74
     chaired
    0.73
    iets
    0.71
    eele
    0.71
    akeru
    0.70
     Cosponsors
    0.69
    ciplinary
    0.69
    ioch
    0.69
    Activations Density 1.236%

    No Known Activations