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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. 3-RES-JB
    11. 13539
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    Explanations

    terms related to being qualified or having qualifications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to being qualified or having competency in a specific area

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DRAG
    -0.79
     Sparrow
    -0.68
    âĸ¬
    -0.68
     Tycoon
    -0.66
     Lans
    -0.66
    orah
    -0.65
     drip
    -0.65
     Dome
    -0.64
     Kinnikuman
    -0.63
     Spice
    -0.63
    POSITIVE LOGITS
     qualifications
    0.98
     qualified
    0.91
     applicants
    0.90
    qualified
    0.90
    dinand
    0.89
    ifiers
    0.85
     instructors
    0.83
    iotics
    0.83
    ifies
    0.80
     qualification
    0.79
    Activations Density 0.008%

    No Known Activations