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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5396
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    Explanations

    words related to the act of "jamming."

    oai_token-act-pair · gpt-3.5-turbo

    words related to the act of "ming," particularly in contexts that imply movement or social interaction

    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
    izons
    -0.76
    MpServer
    -0.72
     Horowitz
    -0.66
    anka
    -0.64
    mone
    -0.63
    Az
    -0.62
    idas
    -0.62
    ibaba
    -0.60
    aterasu
    -0.59
     hunger
    -0.59
    POSITIVE LOGITS
    bird
    1.02
    eer
    0.94
    birds
    0.84
    olin
    0.83
    STER
    0.81
    mers
    0.77
    ication
    0.76
    uctor
    0.76
    ding
    0.75
    achusetts
    0.74
    Activations Density 0.017%

    No Known Activations