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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. 11-RES-JB
    11. 13428
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    INDEX
    Explanations

    words related to size and quantity, particularly focusing on terms such as "oversized", "underserved", and "downsizing"

    oai_token-act-pair · gpt-3.5-turbo

    words related to sizing, specifically terms indicating over-sizing and under-sizing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MENTS
    -0.74
    stones
    -0.73
    Äĩ
    -0.68
    wcsstore
    -0.66
    rov
    -0.66
    stone
    -0.63
    bon
    -0.63
     Coffin
    -0.62
    ts
    -0.62
    ration
    -0.61
    POSITIVE LOGITS
    aturated
    1.46
    ourced
    1.45
    iders
    1.33
    erved
    1.31
    ides
    1.29
    ources
    1.28
    ized
    1.26
    aturation
    1.24
    ourcing
    1.23
    ided
    1.19
    Activations Density 0.057%

    No Known Activations