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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. 20030
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    Explanations

    phrases related to waste or disapproval

    oai_token-act-pair · gpt-3.5-turbo

    references to waste and trash-related themes

    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
    akening
    -0.89
     Archdemon
    -0.83
    )=(
    -0.75
    MSN
    -0.71
    ffield
    -0.70
    ghai
    -0.69
    RL
    -0.67
    ogyn
    -0.67
    ationally
    -0.65
     Palmer
    -0.65
    POSITIVE LOGITS
     cans
    1.04
     dumps
    1.01
     heap
    1.00
    bags
    0.96
     bags
    0.95
     trash
    0.95
    bag
    0.90
     bins
    0.89
    dump
    0.88
     garbage
    0.83
    Activations Density 0.015%

    No Known Activations