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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. 4-RES-JB
    11. 19809
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    Explanations

    specific professions or fields of work

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of "work."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    dot
    -0.83
    irens
    -0.65
     sshd
    -0.60
    pora
    -0.59
    xus
    -0.59
    Edge
    -0.59
    away
    -0.59
    future
    -0.59
    cci
    -0.57
    ority
    -0.57
    POSITIVE LOGITS
     course
    0.95
     sorts
    0.83
    course
    0.78
     Nanto
    0.76
     Course
    0.72
    ortunately
    0.72
     Recorded
    0.72
     luck
    0.71
    =/
    0.65
    Keefe
    0.64
    Activations Density 0.174%

    No Known Activations