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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. 0-RES-JB
    11. 2708
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    Explanations

    terms related to religious locations or concepts

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of a specific substance or material

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Parenthood
    -0.63
     spaces
    -0.62
     shorth
    -0.60
     backs
    -0.60
     stalls
    -0.57
    Pinterest
    -0.57
    ======
    -0.56
     Sierra
    -0.56
     STOP
    -0.56
     maj
    -0.56
    POSITIVE LOGITS
    od
    4.28
    ods
    2.58
    odic
    2.33
    OD
    1.84
    odon
    1.82
    odor
    1.80
    oda
    1.69
    ody
    1.64
    odes
    1.62
    odi
    1.61
    Activations Density 0.013%

    No Known Activations