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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. 10-RES-JB
    11. 10727
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    Explanations

    phrases related to speaking a lot and speaking passionately

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to speaking and communication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥãĥĪ
    -0.66
    ARGET
    -0.64
    romeda
    -0.63
    lisher
    -0.60
    ģĸ
    -0.60
    arak
    -0.59
     Replace
    -0.57
    hesda
    -0.57
    Ħ¢
    -0.56
     lookup
    -0.55
    POSITIVE LOGITS
     aloud
    1.20
     louder
    1.11
     talk
    1.06
     loudly
    0.97
     about
    0.94
     loud
    0.92
    talk
    0.88
     inco
    0.87
     ABOUT
    0.87
     eloqu
    0.81
    Activations Density 0.192%

    No Known Activations