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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 4788
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    Explanations

    headlines or news reports from CNN indicated by the presence of "(CNN)" and a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of parentheses and their context, particularly related to CNN references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     assum
    -0.70
    zos
    -0.67
    ãĤ´
    -0.65
    ãĥĵ
    -0.65
    ãĥĦ
    -0.64
    fee
    -0.64
    spr
    -0.64
     stabil
    -0.62
    cf
    -0.61
    antage
    -0.60
    POSITIVE LOGITS
     Latest
    0.88
     Thousands
    0.84
     Dozens
    0.80
     Authorities
    0.78
     Instead
    0.78
     Amid
    0.73
     Hundreds
    0.72
     Speaking
    0.72
     Parenthood
    0.72
     Despite
    0.71
    Activations Density 0.030%

    No Known Activations