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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. 20052
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    Explanations

    words related to harmful actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of harvesting

    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
    DragonMagazine
    -0.92
     Dragonbound
    -0.89
    uyomi
    -0.86
    MpServer
    -0.81
    ETF
    -0.78
     Leone
    -0.77
    etts
    -0.75
    BuyableInstoreAndOnline
    -0.75
    Credit
    -0.74
    arantine
    -0.73
    POSITIVE LOGITS
    ried
    1.03
     har
    1.00
    anging
    0.84
    rod
    0.78
    rier
    0.77
    bors
    0.74
    riers
    0.74
    onso
    0.73
    vor
    0.73
    rim
    0.72
    Activations Density 0.012%

    No Known Activations