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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. 7-RES-JB
    11. 2024
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    Explanations

    references to specific entities or names starting with the letter "W"

    oai_token-act-pair · gpt-3.5-turbo

    references to the letter "W" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     succeeding
    -0.69
     headache
    -0.66
     gratification
    -0.66
     afore
    -0.65
     Prelude
    -0.64
     enclosed
    -0.63
     predators
    -0.63
     bottleneck
    -0.61
     apprehension
    -0.60
     Malfoy
    -0.60
    POSITIVE LOGITS
    ITNESS
    1.35
    edge
    1.19
    INGS
    1.19
    ALK
    1.18
    ITCH
    1.17
    OOD
    1.17
    ipe
    1.13
    atson
    1.13
    ORD
    1.12
    idespread
    1.12
    Activations Density 0.038%

    No Known Activations