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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. 11-RES-JB
    11. 101
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    Explanations

    words related to dedication or commitment

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to dedication or commitment to various causes or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CoC
    -0.58
    Quote
    -0.56
    itta
    -0.56
     Notting
    -0.53
    EEK
    -0.51
    #$#$
    -0.50
    ahime
    -0.50
    ixels
    -0.49
     Dictionary
    -0.47
     Subtle
    -0.47
    POSITIVE LOGITS
     solely
    0.95
     exclusively
    0.89
     chiefly
    0.83
     thereto
    0.81
     specifically
    0.81
     primarily
    0.77
     principally
    0.77
     mainly
    0.76
     entirely
    0.72
     expressly
    0.72
    Activations Density 0.215%

    No Known Activations