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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. 4-RES-JB
    11. 20771
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    Explanations

    phrases related to discovering or uncovering information

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the act of discovering or learning new information

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

    No Comments

    Negative Logits
    cius
    -0.79
    interstitial
    -0.77
    orously
    -0.73
    avorite
    -0.71
    export
    -0.70
    iets
    -0.69
    oil
    -0.68
    cious
    -0.68
    oulder
    -0.68
    Textures
    -0.68
    POSITIVE LOGITS
    yer
    0.82
    posts
    0.77
     è£ıè
    0.75
     how
    0.75
    stadt
    0.74
    wards
    0.73
    casts
    0.67
     loopholes
    0.66
    ropolis
    0.64
     sexism
    0.64
    Activations Density 0.035%

    No Known Activations