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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. 6-RES-JB
    11. 13824
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    Explanations

    phrases related to medical procedures and technologies involving magnetic elements and substances

    oai_token-act-pair · gpt-3.5-turbo

    scientific terms and concepts related to nanotechnology and medical applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EGIN
    -0.73
     Rout
    -0.72
     Shop
    -0.70
     SERV
    -0.70
     OW
    -0.69
     Scala
    -0.66
    OAD
    -0.66
    #$#$
    -0.65
    PLAY
    -0.65
    FUL
    -0.64
    POSITIVE LOGITS
    oxide
    1.12
    rosis
    1.05
     antibodies
    1.02
    emia
    1.00
     coating
    0.96
     toxin
    0.95
    ema
    0.93
     antibody
    0.92
    oxin
    0.91
    poly
    0.90
    Activations Density 0.344%

    No Known Activations