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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. 9031
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    INDEX
    Explanations

    expressions related to anticipation or looking forward to something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating anticipation or looking forward to future events

    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
     Advertisement
    -0.78
    SPONSORED
    -0.70
    quickShipAvailable
    -0.68
    grain
    -0.68
    Coin
    -0.67
    Center
    -0.67
    Wallet
    -0.67
    thumbnails
    -0.66
    Written
    -0.65
    cart
    -0.64
    POSITIVE LOGITS
    Ô
    0.83
     accommodate
    0.82
     revisit
    0.81
     date
    0.81
    ggles
    0.80
     sunset
    0.80
     pursue
    0.74
     refresh
    0.73
     celebrate
    0.73
    clus
    0.72
    Activations Density 0.057%

    No Known Activations