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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. 3-RES-JB
    11. 3858
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    Explanations

    place names or terms related to educational institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and actions associated with those locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tiger
    -0.76
     Chimera
    -0.71
     Ruk
    -0.70
    angering
    -0.68
     vortex
    -0.68
     Suk
    -0.66
     Pengu
    -0.64
     Ascend
    -0.64
    itton
    -0.63
    yz
    -0.63
    POSITIVE LOGITS
    stead
    0.96
    stad
    0.91
    ature
    0.84
    vention
    0.79
    atures
    0.79
    sburg
    0.78
    sson
    0.78
    shots
    0.77
    76561
    0.73
    ventions
    0.73
    Activations Density 0.011%

    No Known Activations