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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. 13088
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    Explanations

    words related to physical holding or grasping

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to having a strong hold or control over something

    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
    etheus
    -0.73
    hex
    -0.68
    issy
    -0.67
    actionDate
    -0.66
    DEF
    -0.66
    bsp
    -0.65
    ploy
    -0.65
    abad
    -0.63
    ffe
    -0.63
     hosted
    -0.62
    POSITIVE LOGITS
     grip
    1.19
     Grip
    1.13
     grips
    1.07
    hold
    0.88
     gripping
    0.79
    eering
    0.79
    veland
    0.78
    oire
    0.73
    eer
    0.73
    es
    0.72
    Activations Density 0.009%

    No Known Activations