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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
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    Explanations

    references to luxurious or upscale items and concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "fancy."

    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
    upon
    -0.82
    sen
    -0.79
    essee
    -0.73
    arenthood
    -0.71
    iland
    -0.70
    ————————————————
    -0.69
    etts
    -0.68
    scl
    -0.66
     Adin
    -0.65
    yrs
    -0.64
    POSITIVE LOGITS
     fancy
    1.19
    pants
    0.94
     fanc
    0.73
    tail
    0.73
    vier
    0.69
     fries
    0.67
     nifty
    0.65
    ulously
    0.64
     Fancy
    0.63
     flair
    0.63
    Activations Density 0.010%

    No Known Activations