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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. 8-RES-JB
    11. 11192
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    Explanations

    words related to waste management and disposal

    oai_token-act-pair · gpt-3.5-turbo

    references to trash and garbage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akening
    -0.79
    rared
    -0.70
    ulner
    -0.68
    ationally
    -0.68
    isse
    -0.67
    othal
    -0.66
    arine
    -0.66
    )=(
    -0.66
    ogyn
    -0.66
    iator
    -0.65
    POSITIVE LOGITS
     cans
    1.08
    bags
    1.03
     disposal
    1.03
     bins
    1.01
     heap
    1.01
    bag
    1.00
     bags
    0.98
     dumps
    0.97
    dump
    0.96
    bowl
    0.92
    Activations Density 0.047%

    No Known Activations