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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. 9-RES-JB
    11. 13939
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    Explanations

    references to informal groups of people or individuals, often in a familiar or friendly manner

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people, particularly using the term "folks"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     suprem
    -0.62
    wcs
    -0.61
     Destination
    -0.61
    COMPLE
    -0.60
    èª
    -0.60
    Pi
    -0.59
    VL
    -0.58
     pend
    -0.56
    NN
    -0.55
    ICO
    -0.55
    POSITIVE LOGITS
    hots
    0.91
    y
    0.88
    swick
    0.87
    hips
    0.86
    hao
    0.85
    bill
    0.85
    eenth
    0.84
    wagon
    0.83
    haw
    0.83
    opausal
    0.83
    Activations Density 0.038%

    No Known Activations