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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. 4-RES-JB
    11. 7270
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    Explanations

    words related to value, worth, or quality

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of merit

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

    No Comments

    Negative Logits
     Dogs
    -0.79
     Bore
    -0.76
     Weather
    -0.68
     Colossus
    -0.67
     Underground
    -0.65
     Guns
    -0.65
     Extrem
    -0.63
     Sheep
    -0.63
     Psychiatry
    -0.63
     Rove
    -0.62
    POSITIVE LOGITS
    ocratic
    1.21
    ocracy
    1.15
     merit
    1.10
     merits
    1.09
    folios
    1.00
    ocrats
    0.96
     guiActiveUn
    0.92
    ensical
    0.89
    ocr
    0.85
    itial
    0.83
    Activations Density 0.014%

    No Known Activations