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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 7243
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    Explanations

    words related to ease, easiness, and facilitation

    oai_token-act-pair · gpt-3.5-turbo

    words related to ease and difficulty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     McDonald
    -0.65
     nursery
    -0.65
     IMAGES
    -0.63
    £ı
    -0.62
     McDonnell
    -0.61
     Kirin
    -0.61
    DERR
    -0.61
    ĸļ
    -0.60
     Kirst
    -0.60
    ¶ħ
    -0.60
    POSITIVE LOGITS
    eas
    1.07
    ipeg
    1.03
    eme
    0.96
    iculty
    0.91
    eto
    0.89
    etr
    0.87
    Cle
    0.84
    hib
    0.84
    eeks
    0.82
    ement
    0.81
    Activations Density 0.011%

    No Known Activations