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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 818
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    INDEX
    Explanations

    references to neighbors or neighborhood situations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of neighbors and neighborhood-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    othal
    -0.81
    uggage
    -0.77
    inen
    -0.75
     bearer
    -0.72
    itech
    -0.72
    UX
    -0.69
    xit
    -0.66
    Session
    -0.66
    issions
    -0.66
    enei
    -0.65
    POSITIVE LOGITS
     neighbor
    1.18
     neighbors
    1.10
     Neigh
    1.09
    liness
    1.05
     neighbour
    1.04
    bors
    1.03
     neighbours
    0.98
    hood
    0.87
    liest
    0.87
    folk
    0.86
    Activations Density 0.027%

    No Known Activations