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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. 16031
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    INDEX
    Explanations

    words related to shared or collective concepts, such as "common sense" or "common currency"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "common" in various contexts related to shared attributes or experiences

    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
    enda
    -0.80
    hyde
    -0.77
    asus
    -0.74
    agate
    -0.73
    gur
    -0.71
    resy
    -0.71
    ocalypse
    -0.68
    otos
    -0.67
    eki
    -0.66
    oby
    -0.66
    POSITIVE LOGITS
    wealth
    1.36
    alities
    1.05
     ancestor
    1.03
    places
    0.95
     denomin
    0.94
    ensical
    0.91
    ality
    0.89
     decency
    0.79
     occurrence
    0.78
     Common
    0.75
    Activations Density 0.016%

    No Known Activations