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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 917
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    Explanations

    discussions about controversial actions or policies, particularly those involving ethics and legality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    terms related to controversial or unethical activities

    oai_token-act-pair · gpt-3.5-turbo
    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
    APTER
    -0.65
     partName
    -0.61
    DIT
    -0.60
    Ô
    -0.59
    ISSION
    -0.59
    ãĥª
    -0.58
    gencies
    -0.57
    Administ
    -0.57
    idays
    -0.57
    Econom
    -0.56
    POSITIVE LOGITS
     resembling
    0.75
     akin
    0.70
     allegedly
    0.68
     purportedly
    0.68
     alongside
    0.68
     cheaply
    0.66
     supposedly
    0.65
     including
    0.64
     spiked
    0.63
     blamed
    0.63
    Activations Density 0.730%

    No Known Activations