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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. 9-RES-JB
    11. 2946
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    Explanations

    features related to physical properties or characteristics, such as resistance or efficiency

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to durability, sustainability, and community impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uctions
    -0.77
    UNE
    -0.76
    ibraries
    -0.75
    initions
    -0.71
    orget
    -0.69
    ICES
    -0.69
    aurus
    -0.68
    rikes
    -0.68
    clipse
    -0.68
     Edison
    -0.66
    POSITIVE LOGITS
    less
    1.43
     oriented
    1.31
    worthy
    1.31
    able
    1.29
    lessly
    1.24
    ful
    1.21
     friendly
    1.16
    ishly
    1.11
    oriented
    1.11
    proof
    1.10
    Activations Density 0.448%

    No Known Activations