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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. 3-RES-JB
    11. 273
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    Explanations

    words related to trash or undesirable items

    oai_token-act-pair · gpt-3.5-turbo

    references to waste and refuse

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akening
    -0.88
     Archdemon
    -0.80
    MSN
    -0.71
    ogyn
    -0.69
    heid
    -0.67
     Origins
    -0.67
     hem
    -0.66
    )=(
    -0.66
    thren
    -0.65
    RL
    -0.65
    POSITIVE LOGITS
     heap
    0.99
     cans
    0.96
     dumps
    0.95
    bags
    0.94
     trash
    0.89
    bag
    0.89
    dump
    0.89
     bags
    0.88
    ãĤĵ
    0.86
    bowl
    0.84
    Activations Density 0.010%

    No Known Activations