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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. 9-RES-JB
    11. 14166
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    Explanations

    keywords related to job applications and submissions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "application" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icz
    -0.73
     havoc
    -0.70
    stead
    -0.70
    gang
    -0.64
     Subtle
    -0.62
    ijk
    -0.62
     Orwell
    -0.61
    velt
    -0.61
     amusement
    -0.59
     analog
    -0.58
    POSITIVE LOGITS
     applicants
    1.06
     submitted
    1.03
     Deadline
    0.99
     submissions
    0.97
    Applic
    0.95
     submit
    0.86
     submitting
    0.86
     applicant
    0.86
    submit
    0.85
     deadline
    0.84
    Activations Density 0.241%

    No Known Activations