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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. 1-RES-JB
    11. 12966
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    Explanations

    the word "savvy" and terms related to experience or expertise, particularly when related to technology or business contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to expertise and awareness, particularly emphasizing consumer savvy and experienced individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    borg
    -0.69
    abee
    -0.67
     regress
    -0.67
    aration
    -0.66
    ope
    -0.66
    units
    -0.66
    rams
    -0.66
    hardt
    -0.65
    bsite
    -0.65
    itary
    -0.64
    POSITIVE LOGITS
     savvy
    1.23
     chops
    0.76
     clout
    0.72
     calculus
    0.72
     bona
    0.69
     desperation
    0.68
    vers
    0.67
     folks
    0.66
     sensibilities
    0.66
     palate
    0.66
    Activations Density 0.022%

    No Known Activations