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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. 10-RES-JB
    11. 8495
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    Explanations

    references to specific nutrients like vitamins, minerals, and proteins in a written context

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffffcc
    -0.82
    76561
    -0.76
    */(
    -0.75
     Photographer
    -0.69
    pter
    -0.69
    fm
    -0.66
     dstg
    -0.66
    hur
    -0.65
    bare
    -0.65
    hou
    -0.65
    POSITIVE LOGITS
     supplementation
    1.15
     supplements
    1.13
    rients
    1.11
     vitamins
    1.07
     vitamin
    1.03
     nutrients
    0.99
     deficiencies
    0.99
    ritional
    0.98
     Vitamin
    0.96
    nesium
    0.96
    Activations Density 0.027%

    No Known Activations