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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. 7-RES-JB
    11. 13814
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    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    prominent names associated with various activities or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Somali
    -0.77
     guiActiveUnfocused
    -0.70
    ãĤ´ãĥ³
    -0.69
     Miko
    -0.67
     Uri
    -0.65
     Mori
    -0.65
     Goo
    -0.65
     Carnage
    -0.65
    Enlarge
    -0.64
     Cthulhu
    -0.64
    POSITIVE LOGITS
    ricks
    0.84
    anmar
    0.83
    usky
    0.80
    entin
    0.80
    anda
    0.77
    andra
    0.77
    ENN
    0.76
    ard
    0.76
    enna
    0.74
    ris
    0.74
    Activations Density 0.304%

    No Known Activations