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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. 2718
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    Explanations

    phrases starting with "Having" that describe a recent action or state

    oai_token-act-pair · gpt-3.5-turbo

    phrases starting with "Having" that describe past experiences or accomplishments

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Interested
    -0.68
    pot
    -0.58
    lig
    -0.58
    ort
    -0.58
    Norm
    -0.57
     Sunrise
    -0.57
     scen
    -0.56
     Avalanche
    -0.56
    -->
    -0.55
    VR
    -0.55
    POSITIVE LOGITS
     been
    1.21
     undergone
    1.19
     gotten
    1.03
     endured
    1.03
    been
    1.03
     tasted
    0.99
     grown
    0.98
     eaten
    0.97
     heard
    0.96
     worked
    0.96
    Activations Density 0.063%

    No Known Activations