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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. 6-RES-JB
    11. 24521
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    Explanations

    references to or emphasis on specific sections or aspects of a document

    oai_token-act-pair · gpt-3.5-turbo

    references to preceding content or concepts in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Mail
    -0.73
    mates
    -0.71
     Guard
    -0.71
     Doors
    -0.69
     Speedway
    -0.66
    cycles
    -0.66
    rology
    -0.65
    uala
    -0.65
    Disk
    -0.63
     Compliance
    -0.62
    POSITIVE LOGITS
    mentioned
    1.40
     mentioned
    0.93
    ground
    0.85
     snippet
    0.83
     equation
    0.82
     aforementioned
    0.82
     scenario
    0.81
    ebin
    0.81
     paragraph
    0.75
     caveat
    0.74
    Activations Density 0.018%

    No Known Activations