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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. 5744
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    Explanations

    words related to emotions, particularly feelings of confusion or being overwhelmed

    oai_token-act-pair · gpt-3.5-turbo

    references to wonder and bewilderment

    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
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    No Comments

    Negative Logits
    NetMessage
    -0.70
    CRIP
    -0.69
     Vulkan
    -0.69
    Downloadha
    -0.68
    ãĥīãĥ©ãĤ´ãĥ³
    -0.68
    mson
    -0.68
     JPM
    -0.67
    icago
    -0.65
    è£ħ
    -0.64
    OHN
    -0.63
    POSITIVE LOGITS
    ered
    1.37
    ering
    1.24
    reme
    1.15
    ern
    1.08
    ers
    1.07
    ership
    1.05
    erest
    1.04
    inct
    1.03
    urger
    1.03
    rem
    0.99
    Activations Density 0.026%

    No Known Activations