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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. 4408
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    Explanations

    phrases related to specific actions taken by individuals or groups

    oai_token-act-pair · gpt-3.5-turbo
    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
     Niet
    -0.94
    wr
    -0.70
     horizont
    -0.65
    Mania
    -0.61
     ensu
    -0.60
    ridor
    -0.59
    DN
    -0.59
    eur
    -0.59
     towed
    -0.59
    wx
    -0.58
    POSITIVE LOGITS
     noises
    1.07
     mistake
    1.03
     decisions
    1.00
     mistakes
    0.98
     adjustments
    0.97
     assumptions
    0.97
     strides
    0.97
     sacrifices
    0.94
     contribution
    0.93
     contributions
    0.92
    Activations Density 0.149%

    No Known Activations