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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. 16255
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    Explanations

    phrases related to giving suggestions or advice

    oai_token-act-pair · gpt-3.5-turbo

    phrases and recommendations related to advice or suggestions

    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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    Negative Logits
     wheelchair
    -0.66
     Fundamental
    -0.65
     autism
    -0.63
     incom
    -0.58
     metast
    -0.58
     distorted
    -0.58
     infring
    -0.55
     fundamentally
    -0.55
    Orig
    -0.55
     phenomena
    -0.55
    POSITIVE LOGITS
    hower
    0.79
    RAFT
    0.76
     ASAP
    0.75
    poon
    0.75
    raise
    0.74
     caution
    0.72
    odge
    0.72
    Redditor
    0.72
    rity
    0.72
     consult
    0.71
    Activations Density 0.714%

    No Known Activations