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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. 14890
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    Explanations

    words related to reduction or decrease

    oai_token-act-pair · gpt-3.5-turbo

    terms related to reduction or decline

    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
    rieg
    -0.72
    raid
    -0.71
    ullivan
    -0.69
    sol
    -0.64
    RA
    -0.64
    ORE
    -0.63
    lished
    -0.63
    dor
    -0.62
    nell
    -0.62
    ramid
    -0.61
    POSITIVE LOGITS
     proport
    0.81
     dimin
    0.80
    utive
    0.78
     diminish
    0.77
     Jagu
    0.74
    utical
    0.71
    inished
    0.71
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.71
     numb
    0.69
    itized
    0.68
    Activations Density 0.023%

    No Known Activations