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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. 7-RES-JB
    11. 228
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    Explanations

    mentions of dates and locations

    oai_token-act-pair · gpt-3.5-turbo

    post-related timestamps and metadata information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ende
    -0.21
    ensis
    -0.20
    Dur
    -0.19
     Azerb
    -0.19
    Sov
    -0.19
     wagon
    -0.19
    £ı
    -0.18
     rul
    -0.18
    iens
    -0.18
     Spiel
    -0.18
    POSITIVE LOGITS
     guiActive
    0.19
    Screenshot
    0.17
    atform
    0.17
    ustomed
    0.16
    Background
    0.16
    eno
    0.16
     Theresa
    0.16
    Title
    0.15
    AFTA
    0.15
    olphins
    0.15
    Activations Density 7.285%

    No Known Activations