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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. 12024
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    Explanations

    words related to legal matters and actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal violations, particularly regarding tax offenses and associated 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
    uple
    -0.79
     toget
    -0.79
    achine
    -0.79
    amaz
    -0.78
     mont
    -0.70
     Gim
    -0.67
    lad
    -0.64
     coh
    -0.63
    mid
    -0.61
    ripp
    -0.61
    POSITIVE LOGITS
     Kenyan
    0.74
     mistaken
    0.70
    nesses
    0.66
     evasion
    0.66
    ctuary
    0.65
     Contracts
    0.65
     Bangl
    0.64
     Illegal
    0.64
     Meter
    0.64
     rogue
    0.63
    Activations Density 0.182%

    No Known Activations