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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. 16568
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    Explanations

    mentions of 3D technology

    oai_token-act-pair · gpt-3.5-turbo

    references to 3D technology and its applications

    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
    recomm
    -0.74
     Bulg
    -0.72
    raltar
    -0.67
    kers
    -0.67
     Kron
    -0.67
    é»Ĵ
    -0.63
     Horus
    -0.63
     tides
    -0.63
    éĹĺ
    -0.61
    Sund
    -0.60
    POSITIVE LOGITS
    imensional
    1.34
    oxy
    0.86
    illusion
    0.84
    MAX
    0.82
    igger
    0.79
    atur
    0.77
    olf
    0.77
     printing
    0.76
    wayne
    0.73
     Printing
    0.73
    Activations Density 0.025%

    No Known Activations