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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. 2-RES-JB
    11. 2393
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    Explanations

    words related to diagrams and technical terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to imaging or graphical representations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rapp
    -0.68
     occupational
    -0.62
     incumbent
    -0.61
     defender
    -0.59
     spont
    -0.59
     appellate
    -0.58
    attribute
    -0.57
     perks
    -0.57
     municip
    -0.56
     prosecut
    -0.55
    POSITIVE LOGITS
    ogram
    1.18
    matical
    1.16
    ming
    1.09
    metry
    1.05
    matic
    1.04
    matically
    1.02
    med
    0.96
    mers
    0.95
    ograms
    0.92
    raphic
    0.86
    Activations Density 0.006%

    No Known Activations