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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. 0-RES-JB
    11. 12816
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    Explanations

    qualifications or items related to qualifications

    oai_token-act-pair · gpt-3.5-turbo

    references to qualifications and credentials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Released
    -0.69
    irez
    -0.68
    iral
    -0.67
     ingest
    -0.66
     Delicious
    -0.66
     unfocusedRange
    -0.65
    nown
    -0.64
     outnumbered
    -0.63
    MpServer
    -0.61
    mega
    -0.60
    POSITIVE LOGITS
     qualifications
    3.16
     qualification
    2.81
     eligibility
    1.37
     vacancies
    1.21
     prerequisite
    1.05
    isites
    1.04
     certification
    1.03
     distinctions
    1.03
     Qual
    0.96
    smith
    0.95
    Activations Density 0.032%

    No Known Activations