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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. 7127
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    Explanations

    phrases related to the concept of overcoming challenges or obstacles

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate successfully overcoming challenges or obstacles

    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
    =#
    -0.67
     Micha
    -0.63
     evid
    -0.63
    ãĤ¦ãĤ¹
    -0.57
     backdrop
    -0.57
     Juda
    -0.57
     EVENTS
    -0.56
    wcsstore
    -0.56
    iqueness
    -0.56
    =/
    -0.55
    POSITIVE LOGITS
     undet
    0.95
    ebin
    0.85
     unsc
    0.82
     safely
    0.81
    uberty
    0.75
    odon
    0.74
    ozo
    0.74
     hurdle
    0.72
     civilisation
    0.72
     alive
    0.71
    Activations Density 0.147%

    No Known Activations