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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. 2-RES-JB
    11. 5578
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    Explanations

    phrases related to data centers

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to specific phrases related to data and unique identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    士
    -0.76
    phis
    -0.75
    aea
    -0.74
    icons
    -0.73
    iences
    -0.72
     destro
    -0.72
    ateral
    -0.71
     skelet
    -0.69
    ecided
    -0.66
    inki
    -0.66
    POSITIVE LOGITS
     tha
    0.87
    strument
    0.75
    charge
    0.73
    hall
    0.73
    charges
    0.71
     dat
    0.69
    dos
    0.69
    acha
    0.68
    kus
    0.65
     1960
    0.65
    Activations Density 0.022%

    No Known Activations