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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. 9569
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     juggling
    -0.64
     anch
    -0.63
     counterpart
    -0.63
     equ
    -0.62
     Dane
    -0.60
    ATTLE
    -0.59
     Dragonbound
    -0.59
     mastering
    -0.58
     flank
    -0.58
     crest
    -0.58
    POSITIVE LOGITS
    etics
    0.80
    ict
    0.77
    ĩ
    0.77
    eworthy
    0.75
    itivity
    0.72
    orical
    0.72
    alg
    0.71
    oir
    0.71
    ements
    0.70
    cept
    0.70
    Activations Density 0.299%

    No Known Activations