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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. 4305
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    Explanations

    words related to cryptocurrency and scientific terms involving nanotechnology

    oai_token-act-pair · gpt-3.5-turbo

    words related to nanotechnology and its 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
    senal
    -0.74
     Victory
    -0.73
     offenses
    -0.68
     innocence
    -0.68
     AVG
    -0.68
     Cups
    -0.68
     verbs
    -0.67
     Rabbit
    -0.67
     Bulls
    -0.66
    yards
    -0.66
    POSITIVE LOGITS
    amate
    0.87
    opter
    0.84
    ystem
    0.84
    atellite
    0.84
    ound
    0.81
    rep
    0.81
    apt
    0.80
    amer
    0.80
    rote
    0.78
    cient
    0.78
    Activations Density 0.099%

    No Known Activations