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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. 10-RES-JB
    11. 5027
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    Explanations

    phrases related to causing or experiencing intense or extreme actions or emotions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to deep emotional or psychological experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    renheit
    -0.79
    SPONSORED
    -0.77
    olphin
    -0.74
    alid
    -0.73
    shown
    -0.71
    ¸
    -0.69
    eller
    -0.69
    ¯¯
    -0.68
    Ë
    -0.67
    istani
    -0.67
    POSITIVE LOGITS
     heels
    0.98
     throats
    0.96
     bandwagon
    0.92
     seams
    0.89
     necks
    0.88
     unsuspecting
    0.87
     clich
    0.86
     corners
    0.85
     cliff
    0.84
     defences
    0.84
    Activations Density 0.515%

    No Known Activations