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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. 4-RES-JB
    11. 12167
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    Explanations

    descriptions or references to something new or different that creates a positive feeling

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of being refreshing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    foreseen
    -0.81
    nuclear
    -0.79
     hurd
    -0.74
    BD
    -0.72
    phia
    -0.71
     NAT
    -0.69
    operated
    -0.66
    OTA
    -0.66
    operator
    -0.66
    orne
    -0.65
    POSITIVE LOGITS
    issance
    1.27
     refreshing
    0.97
    ements
    0.88
    ly
    0.87
    PDATE
    0.86
     Refresh
    0.82
     breeze
    0.80
     refresh
    0.79
     Surge
    0.78
    idge
    0.78
    Activations Density 0.014%

    No Known Activations