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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. 9-RES-JB
    11. 23708
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    Explanations

    words related to planning and organization

    oai_token-act-pair · gpt-3.5-turbo

    references to planning, particularly regarding projects or initiatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    wcsstore
    -0.67
     dab
    -0.66
    NetMessage
    -0.66
     unaccount
    -0.65
    worldly
    -0.64
     minded
    -0.64
    channelAvailability
    -0.63
     confir
    -0.63
    Downloadha
    -0.61
    Assembly
    -0.60
    POSITIVE LOGITS
    etary
    1.51
    ning
    1.15
    ets
    1.05
    arian
    1.03
    ét
    1.03
    escape
    1.00
    ck
    0.99
    isphere
    0.98
    acci
    0.95
    ician
    0.95
    Activations Density 0.043%

    No Known Activations