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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. 20868
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    Explanations

    words related to aspirations or desires

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to aspirations and desires for the future

    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
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    No Comments

    Negative Logits
    mint
    -0.90
    proof
    -0.78
    Lie
    -0.68
    pmwiki
    -0.68
    iencies
    -0.68
    Interstitial
    -0.67
    resent
    -0.66
    nery
    -0.63
    mans
    -0.63
    ded
    -0.63
    POSITIVE LOGITS
    omething
    1.12
    pace
    1.10
    paces
    1.10
    hops
    1.07
    cape
    1.07
    peed
    1.06
    pring
    1.05
    mith
    0.93
    creen
    0.88
    hooting
    0.87
    Activations Density 0.050%

    No Known Activations