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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. 8-RES-JB
    11. 12686
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    Explanations

    words related to dependence or reliance on something or someone

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to dependence and reliance on resources or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.82
    terness
    -0.78
    NAS
    -0.76
    ONSORED
    -0.73
    facing
    -0.73
    Cola
    -0.72
    flies
    -0.72
    numbered
    -0.71
    alde
    -0.70
    omsky
    -0.70
    POSITIVE LOGITS
     scraps
    0.87
     unreliable
    0.83
     intuition
    0.82
     imported
    0.81
     brute
    0.81
     intermedi
    0.76
     teamwork
    0.76
     gimm
    0.75
     inputs
    0.75
     luck
    0.75
    Activations Density 0.096%

    No Known Activations