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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. 1290
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    Explanations

    major cities and countries

    oai_token-act-pair · gpt-3.5-turbo

    place names and geographical references

    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
     Dire
    -0.65
     [&
    -0.61
    apses
    -0.60
    ãĤ¦
    -0.58
    ãģ¾
    -0.58
    ãĥ¬
    -0.56
     EVs
    -0.55
    udeb
    -0.55
    flows
    -0.55
    CV
    -0.55
    POSITIVE LOGITS
    uthor
    0.78
    uador
    0.73
    hower
    0.73
    raltar
    0.72
    anyahu
    0.71
    tarian
    0.69
    xtap
    0.69
    upid
    0.69
     Recomm
    0.69
    hester
    0.68
    Activations Density 0.175%

    No Known Activations