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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

    references to extremist groups or ideologies

    oai_token-act-pair · gpt-3.5-turbo

    references to extremist or terrorist ideologies and groups

    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
    eries
    -0.84
    esville
    -0.76
     Minotaur
    -0.74
    sburgh
    -0.74
    yards
    -0.72
    ust
    -0.71
    fman
    -0.69
    stone
    -0.69
    feet
    -0.69
    iard
    -0.68
    POSITIVE LOGITS
     extremist
    0.99
     extremists
    0.98
     extremism
    0.96
     ideology
    0.90
     ideologies
    0.86
     guiActiveUn
    0.86
     Islamist
    0.83
     indoctr
    0.82
     sympath
    0.81
     ide
    0.81
    Activations Density 0.011%

    No Known Activations