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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. 7-RES-JB
    11. 11741
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    Explanations

    phrases related to considering what is best or most beneficial in a given situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the best interest of individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bots
    -0.68
    ctors
    -0.63
    ntil
    -0.60
     Pax
    -0.59
     Morning
    -0.58
    Ds
    -0.57
    CT
    -0.56
     Flavoring
    -0.55
    iak
    -0.55
    Daily
    -0.55
    POSITIVE LOGITS
     forefront
    0.87
     verge
    0.81
     infancy
    0.78
     vein
    0.71
     ballpark
    0.69
    cluded
    0.67
    liest
    0.66
    humane
    0.65
     easiest
    0.64
     widest
    0.63
    Activations Density 0.402%

    No Known Activations