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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. 8-RES-JB
    11. 23647
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    Explanations

    combinations or instances of multiple entities, particularly when they are used together or in a repeated manner

    oai_token-act-pair · gpt-3.5-turbo

    references to multiple entities or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OIL
    -0.74
    lance
    -0.72
    lov
    -0.69
    IAS
    -0.66
    Uncommon
    -0.65
    hirt
    -0.64
    Tip
    -0.63
    BIP
    -0.63
    atown
    -0.63
    اÙĦ
    -0.63
    POSITIVE LOGITS
     simultaneous
    1.20
     consecutive
    1.15
     pairs
    1.10
    ths
    1.06
    ples
    1.04
     layers
    1.04
     successive
    1.02
     kinds
    1.01
     rows
    0.99
     pieces
    0.99
    Activations Density 0.310%

    No Known Activations