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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    references to a specific person's last name, "Sche"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific individual named 'Sche' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     discharged
    -0.77
    Battery
    -0.77
     discharge
    -0.76
    aday
    -0.72
    illery
    -0.71
    BAT
    -0.69
    laim
    -0.66
    bons
    -0.65
     battery
    -0.65
    hesda
    -0.64
    POSITIVE LOGITS
     Sche
    4.03
    Sche
    2.53
    sche
    1.71
     schema
    1.47
     sche
    1.37
     Stras
    1.25
     SCH
    1.22
     Schro
    1.22
     Schne
    1.20
     Rue
    1.19
    Activations Density 0.011%

    No Known Activations