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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 18549
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    Explanations

    words related to actions of arriving or entering a location

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "arrived" and related actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bits
    -0.73
    olin
    -0.71
    ormal
    -0.69
     tongues
    -0.66
    ãĥª
    -0.66
    haps
    -0.62
     reim
    -0.61
     derivatives
    -0.60
     implants
    -0.59
     bets
    -0.58
    POSITIVE LOGITS
     peacefully
    0.76
     aboard
    0.74
     downstairs
    0.73
     seiz
    0.72
     ashore
    0.70
     mosqu
    0.70
    resp
    0.70
     boarded
    0.68
     disembark
    0.68
     safely
    0.66
    Activations Density 0.250%

    No Known Activations