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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. 12-RES-JB
    11. 3904
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    Explanations

    texts related to think tanks

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to think tanks and their activities or reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lowe
    -0.64
     Bless
    -0.58
     laughs
    -0.56
     Summoner
    -0.55
    ities
    -0.54
    arrell
    -0.53
     Sever
    -0.52
     Blessing
    -0.52
     Pike
    -0.52
     Solitaire
    -0.52
    POSITIVE LOGITS
    tank
    1.50
     tank
    1.36
    Tank
    1.25
     tanks
    1.24
     Tank
    1.11
     Tanks
    1.08
    piece
    1.07
    pieces
    1.01
    Progress
    0.90
    progress
    0.87
    Activations Density 0.041%

    No Known Activations