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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the word "dumping" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "dump" and its variations

    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
    avery
    -0.76
    cius
    -0.76
    iola
    -0.75
     Flavoring
    -0.73
    HCR
    -0.73
    cean
    -0.72
    Downloadha
    -0.71
    iasm
    -0.68
     sax
    -0.66
     Origins
    -0.64
    POSITIVE LOGITS
    dump
    1.03
     dumps
    0.98
     heap
    0.95
     dumping
    0.87
    loads
    0.84
     piles
    0.83
    liga
    0.78
     dumped
    0.75
     dump
    0.74
     overboard
    0.74
    Activations Density 0.008%

    No Known Activations