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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. 3-RES-JB
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to account registration and records

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Galile
    -0.72
    wich
    -0.71
    Ľ
    -0.71
    ilitarian
    -0.71
    »Ĵ
    -0.67
    yg
    -0.62
     hurd
    -0.60
    pei
    -0.59
     shepherd
    -0.59
    chie
    -0.59
    POSITIVE LOGITS
    ifications
    0.87
    ifying
    0.86
    ifiable
    0.85
    register
    0.80
    keepers
    0.77
    keeper
    0.76
    ifiers
    0.75
    eering
    0.74
    emark
    0.74
    uning
    0.71
    Activations Density 0.007%

    No Known Activations