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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. 14518
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    Explanations

    phrases related to data collection and surveillance practices

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to data collection practices

    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
    mia
    -0.87
    wrap
    -0.77
    mini
    -0.76
    brace
    -0.74
    shr
    -0.72
    iam
    -0.70
     conquer
    -0.68
    orean
    -0.68
    minent
    -0.67
     Letter
    -0.65
    POSITIVE LOGITS
     collecting
    0.81
     microphones
    0.80
     collects
    0.79
     collected
    0.79
     DATA
    0.78
    enance
    0.78
    ãĥ¼ãĥĨãĤ£
    0.78
     gathering
    0.75
     gathers
    0.75
    itored
    0.74
    Activations Density 0.027%

    No Known Activations