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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. 1-RES-JB
    11. 2025
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    Explanations

    words related to hierarchical levels or positions

    oai_token-act-pair · gpt-3.5-turbo

    words related to sports terminology and negative portrayals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NV
    -0.72
     Huntington
    -0.67
    ML
    -0.64
    VM
    -0.63
    LAND
    -0.63
    LM
    -0.62
    NW
    -0.62
    ORTS
    -0.61
    HAEL
    -0.61
     Holland
    -0.61
    POSITIVE LOGITS
     bas
    1.11
     horizont
    0.91
    sembly
    0.90
    abase
    0.87
    xual
    0.86
     condem
    0.85
    eties
    0.84
    ility
    0.79
     assum
    0.78
     incent
    0.77
    Activations Density 0.005%

    No Known Activations