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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
    11. 20248
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    INDEX
    Explanations

    names of specific groups or individuals, potentially related to controversial or violent activities

    oai_token-act-pair · gpt-3.5-turbo

    references to militant groups and their activities

    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
    elope
    -0.81
    Joy
    -0.78
    LR
    -0.73
    anan
    -0.70
    lus
    -0.69
    edy
    -0.68
    fort
    -0.68
     Fren
    -0.67
    culosis
    -0.66
    enser
    -0.66
    POSITIVE LOGITS
    agher
    0.78
    bilt
    0.78
    ading
    0.76
     extrap
    0.71
     brim
    0.70
    ãĤ¨ãĥ«
    0.70
    uga
    0.70
    adem
    0.70
     gauge
    0.69
    ĸļ
    0.69
    Activations Density 0.038%

    No Known Activations