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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. 11-RES-JB
    11. 5501
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    Explanations

    words related to physical damage or destruction

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "dam" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Garner
    -0.68
     rifles
    -0.65
     impro
    -0.61
     profiling
    -0.61
     Goff
    -0.60
     uninterrupted
    -0.59
     threaded
    -0.58
     Typhoon
    -0.58
     reload
    -0.58
     Hawaiian
    -0.57
    POSITIVE LOGITS
    ascus
    1.56
    nation
    1.30
    ned
    1.27
    mit
    1.24
    aged
    1.24
    sels
    1.22
    ukong
    1.20
    sel
    1.10
    aging
    1.08
    pered
    1.07
    Activations Density 0.037%

    No Known Activations