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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. 11-RES-JB
    11. 1482
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    Explanations

    words related to the initial steps or actions of a process

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to initiating or starting processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    uries
    -0.74
    acies
    -0.72
    ndra
    -0.68
    arcity
    -0.67
    worn
    -0.65
    quickShipAvailable
    -0.65
    pas
    -0.64
    _-
    -0.63
    ancies
    -0.63
    illions
    -0.63
    POSITIVE LOGITS
     exploring
    1.09
     understanding
    0.99
     researching
    0.99
     mapping
    0.98
     experimenting
    0.98
     debugging
    0.97
     designing
    0.94
     implementing
    0.94
     learning
    0.93
     coding
    0.92
    Activations Density 0.059%

    No Known Activations