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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. 9-RES-JB
    11. 5488
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    Explanations

    terms related to actions and processes of manual or physical nature

    oai_token-act-pair · gpt-3.5-turbo

    actions related to law enforcement and compliance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.61
    ashtra
    -0.56
     Ideal
    -0.55
    ATURE
    -0.54
     Dragonbound
    -0.53
     Scand
    -0.52
     Apostle
    -0.52
    DT
    -0.51
    Definition
    -0.51
     Cth
    -0.51
    POSITIVE LOGITS
    ing
    1.60
    ulating
    1.59
    iating
    1.58
    izing
    1.57
    ating
    1.57
    iting
    1.55
    ting
    1.51
    ping
    1.51
    angering
    1.51
    imating
    1.49
    Activations Density 0.774%

    No Known Activations