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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. 0-RES-JB
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    Explanations

    keywords related to the beverage "Hop" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Hop" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     RAID
    -0.68
     certs
    -0.68
    });
    -0.64
    UA
    -0.63
    ified
    -0.62
    sheets
    -0.62
    DVD
    -0.61
    cial
    -0.61
    ector
    -0.60
    cible
    -0.60
    POSITIVE LOGITS
     Hop
    3.89
    Hop
    3.06
    hop
    2.16
     hop
    2.12
     hops
    1.49
    hops
    1.43
     hopping
    1.40
     hopped
    1.21
     Hes
    1.13
     Hip
    1.10
    Activations Density 0.019%

    No Known Activations