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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. 22213
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    Explanations

    references to data storage units or quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to "gig" related concepts, particularly in the context of data or capacity measurements

    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
    xual
    -0.91
    Ô
    -0.74
    velt
    -0.72
    tenance
    -0.72
     CONTROL
    -0.71
    66666666
    -0.69
    ãģį
    -0.65
     1886
    -0.65
    ÙIJ
    -0.64
    090
    -0.63
    POSITIVE LOGITS
    abyte
    1.36
    abytes
    1.32
    apixel
    1.14
     gig
    0.97
    abit
    0.96
    glers
    0.92
    natureconservancy
    0.90
    rett
    0.86
    antically
    0.86
    lio
    0.84
    Activations Density 0.006%

    No Known Activations