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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
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     tremend
    -0.52
     Bernstein
    -0.51
     encoding
    -0.50
     Pastebin
    -0.46
     guiActive
    -0.46
     seiz
    -0.45
     constit
    -0.45
     conflic
    -0.45
    OHN
    -0.45
     hemisphere
    -0.45
    POSITIVE LOGITS
     âĵĺ
    0.59
    !.
    0.56
    .).
    0.56
    hover
    0.55
    ?,
    0.55
    eus
    0.55
    jer
    0.52
    %.
    0.51
     Remix
    0.51
    lore
    0.51
    Activations Density 1.312%

    No Known Activations