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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. 4497
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    Explanations

    references to carts

    oai_token-act-pair · gpt-3.5-turbo

    references to "cart" in various contexts

    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
    ITED
    -0.80
    FP
    -0.68
    IDENT
    -0.64
     EDITION
    -0.63
    HUD
    -0.63
    ETH
    -0.62
    vae
    -0.62
     pact
    -0.61
    hift
    -0.59
     MSM
    -0.59
    POSITIVE LOGITS
    ilage
    1.68
    wright
    1.19
    esian
    1.16
    whe
    1.11
    ographer
    1.07
    wheel
    1.07
    loads
    1.07
     cart
    0.98
    idges
    0.97
    ograph
    0.93
    Activations Density 0.011%

    No Known Activations