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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. 2-RES-JB
    11. 5384
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    Explanations

    words related to prioritization or importance

    oai_token-act-pair · gpt-3.5-turbo

    the word "prime" and its variations in the context of time or quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kson
    -0.86
     Graveyard
    -0.86
    UGE
    -0.83
    UGH
    -0.76
     Laugh
    -0.73
    IGH
    -0.72
     Cheong
    -0.67
     Sins
    -0.65
     Sinclair
    -0.65
     Hancock
    -0.64
    POSITIVE LOGITS
    itives
    1.37
    ordial
    1.33
    ality
    1.00
     prim
    0.98
    etime
    0.96
    itive
    0.95
    essential
    0.94
    acy
    0.92
    eness
    0.91
    ework
    0.89
    Activations Density 0.005%

    No Known Activations