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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. 9-RES-JB
    11. 23968
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    Explanations

    names or terms related to specific locations, potentially individuals or places within a certain geographical area

    oai_token-act-pair · gpt-3.5-turbo

    instances of specific nouns and proper names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨ
    -0.64
    pter
    -0.62
     Fn
    -0.60
    =-=-=-=-
    -0.59
     Seraph
    -0.58
    ECD
    -0.57
     destro
    -0.56
    paio
    -0.56
    ufact
    -0.55
     Dispatch
    -0.55
    POSITIVE LOGITS
    insk
    0.78
    ogen
    0.66
    hid
    0.66
    alid
    0.65
    efe
    0.59
    amba
    0.58
    uild
    0.58
    beh
    0.58
    hum
    0.57
    yz
    0.56
    Activations Density 0.261%

    No Known Activations