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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. 8410
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    Explanations

    words related to garbage or discarding unwanted items

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of discarding or disposing of items

    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
    HCR
    -0.86
    iasm
    -0.77
    velength
    -0.74
    iola
    -0.72
    ghai
    -0.70
     Realms
    -0.70
     Flavoring
    -0.69
    inav
    -0.66
    iam
    -0.66
    iae
    -0.65
    POSITIVE LOGITS
    ster
    1.07
     dumps
    1.00
    dump
    0.99
    sters
    0.90
    loads
    0.86
    tor
    0.78
     dump
    0.78
     heap
    0.75
     cans
    0.75
     overboard
    0.74
    Activations Density 0.019%

    No Known Activations