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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 16777
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    INDEX
    Explanations

    terms related to applicants or candidates, particularly in the context of selection or application processes

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to applicants or applicants' status

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roman
    -0.85
     Alps
    -0.78
    vern
    -0.72
    feeding
    -0.65
    pac
    -0.65
     Alz
    -0.64
     Hobby
    -0.63
     Charge
    -0.63
    haul
    -0.62
    Charge
    -0.62
    POSITIVE LOGITS
     applicant
    1.22
     applicants
    1.21
     Applicant
    1.06
     contestants
    0.87
     applications
    0.85
     licenses
    0.84
     contestant
    0.84
     interviews
    0.82
    lication
    0.81
    ele
    0.81
    Activations Density 0.019%

    No Known Activations