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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. 5-RES-JB
    6. 8231
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    Explanations

    words related to negative actions or attitudes towards others

    oai_token-act-pair · gpt-3.5-turbo

    words related to "demand" or "call for action."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WAYS
    -0.80
     supper
    -0.69
     Elves
    -0.68
    URN
    -0.66
    ORY
    -0.66
     Aid
    -0.64
    WAY
    -0.64
    OWS
    -0.64
    ORED
    -0.64
     Hole
    -0.63
    POSITIVE LOGITS
    agogue
    1.11
    onym
    1.07
    ographically
    1.05
    agog
    1.04
    igration
    1.02
    ploy
    1.01
    ilit
    1.00
    otions
    0.99
    utation
    0.97
    ixed
    0.95
    Activations Density 0.008%

    No Known Activations