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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. 23203
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    Explanations

    words related to electronics or digital communication

    oai_token-act-pair · gpt-3.5-turbo

    specific spellings or forms of the word "el" and its variants

    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
    è¦ļéĨĴ
    -0.73
     Butterfly
    -0.68
    iewicz
    -0.63
     Dracula
    -0.62
    éļ
    -0.61
     Phant
    -0.59
     squared
    -0.57
     Hiroshima
    -0.57
    é¾įå¥ij士
    -0.56
     prediction
    -0.56
    POSITIVE LOGITS
    comed
    1.07
    tering
    1.05
    ving
    0.98
    ping
    0.93
    ted
    0.91
    untary
    0.89
    coming
    0.86
    ter
    0.86
    tern
    0.86
    issan
    0.84
    Activations Density 0.080%

    No Known Activations