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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. 4-RES-JB
    11. 4418
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    Explanations

    phrases introducing specific details or examples

    oai_token-act-pair · gpt-3.5-turbo

    the term "namely" indicating specific examples or clarifications

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

    No Comments

    Negative Logits
    obal
    -0.70
    Iv
    -0.67
     clipboard
    -0.67
    redit
    -0.67
    Emb
    -0.64
    toggle
    -0.63
    Lyn
    -0.62
    Streamer
    -0.61
    ocene
    -0.60
    orc
    -0.59
    POSITIVE LOGITS
     namely
    1.05
    forward
    0.77
    soever
    0.76
    forth
    0.76
    çĶ°
    0.74
    xual
    0.73
     belong
    0.70
     comprised
    0.69
     yours
    0.69
    entimes
    0.66
    Activations Density 0.011%

    No Known Activations