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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. 7-RES-JB
    11. 8488
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    Explanations

    locations or events named "Fair"

    oai_token-act-pair · gpt-3.5-turbo

    the word "Fair" in various contexts related to events or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bottleneck
    -0.72
     Uriel
    -0.68
    CHAT
    -0.68
    OPLE
    -0.63
    ngth
    -0.63
     heck
    -0.60
     Ack
    -0.59
    asive
    -0.58
     bracelet
    -0.58
     extrad
    -0.58
    POSITIVE LOGITS
    grounds
    1.47
    banks
    1.14
    child
    1.10
    ground
    1.06
    fair
    1.01
    yt
    0.96
    places
    0.89
    ies
    0.88
    field
    0.87
    keepers
    0.86
    Activations Density 0.021%

    No Known Activations