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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. 10-RES-JB
    11. 6710
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    Explanations

    references to scanning devices or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to scanning technology and its applications

    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
    ofi
    -0.65
     manslaughter
    -0.64
     reserve
    -0.62
    cair
    -0.61
    illard
    -0.59
     Cind
    -0.59
    orney
    -0.58
    erent
    -0.58
     lawy
    -0.58
     Kut
    -0.58
    POSITIVE LOGITS
     scans
    1.26
     scan
    1.24
     scanner
    1.17
    lator
    1.15
     scanners
    1.14
     scanning
    1.09
    lations
    1.06
    ning
    1.01
     Scan
    0.98
    lation
    0.98
    Activations Density 0.046%

    No Known Activations