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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
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words associated with renewable energy and environmental concepts

    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
     recl
    -0.59
     Crist
    -0.58
     Scalia
    -0.58
     Rodriguez
    -0.57
    INO
    -0.57
     TAMADRA
    -0.55
    hiba
    -0.54
     understatement
    -0.54
     mood
    -0.54
     sch
    -0.53
    POSITIVE LOGITS
    ings
    1.00
    ees
    0.89
    ations
    0.88
    able
    0.86
    ability
    0.86
    ables
    0.80
    ABLE
    0.80
    ingly
    0.79
    ments
    0.78
    ATIONS
    0.78
    Activations Density 0.248%

    No Known Activations