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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. 3-RES-JB
    11. 7258
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to resumes or related documentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Galile
    -0.75
    Front
    -0.63
    ISO
    -0.61
     Lima
    -0.60
    SUP
    -0.59
     [|
    -0.58
    LET
    -0.56
     nucleus
    -0.56
     Cic
    -0.56
     floppy
    -0.56
    POSITIVE LOGITS
    mith
    1.29
    rs
    1.12
    idency
    1.06
    terday
    1.05
    ucker
    1.02
    undown
    1.02
    nyder
    1.01
    abbit
    1.00
    ession
    0.98
    essions
    0.97
    Activations Density 0.011%

    No Known Activations