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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. 16169
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    keywords related to lattice structures and fractals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to lattice structures and fractals

    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
    =-=-=-=-=-=-=-=-
    -0.78
    oaded
    -0.72
    ODUCT
    -0.70
    lean
    -0.67
    PLIED
    -0.66
    ================================================================
    -0.62
     sacrificed
    -0.59
    ----------------------------------------------------------------
    -0.58
    BU
    -0.58
     Sav
    -0.58
    POSITIVE LOGITS
     latt
    1.08
    ĸļ
    1.00
     fract
    0.97
    esis
    0.90
    enburg
    0.84
    itud
    0.83
    ificent
    0.83
    yrinth
    0.83
    endon
    0.82
    neapolis
    0.82
    Activations Density 0.022%

    No Known Activations