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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. 1-RES-JB
    11. 2729
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    Explanations

    words related to living or being in a specific place or environment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to living beings or entities in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ripp
    -0.91
    sonian
    -0.83
    heet
    -0.79
    dule
    -0.78
    ply
    -0.78
    hiba
    -0.77
    MED
    -0.75
    smoking
    -0.75
    iem
    -0.75
    pared
    -0.74
    POSITIVE LOGITS
     inhabit
    1.13
     inhabited
    1.10
     inhab
    1.09
     inhabitants
    1.01
     dwell
    0.88
     dwellings
    0.87
     Dwell
    0.86
     Barbarian
    0.85
     dwelling
    0.84
     islands
    0.80
    Activations Density 0.012%

    No Known Activations