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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. 1-RES-JB
    11. 7025
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    Explanations

    references to mobile applications

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "App" and its variations related to applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.71
    EStreamFrame
    -0.70
     secular
    -0.67
     rods
    -0.62
     Kali
    -0.62
     MU
    -0.61
     coli
    -0.60
    bys
    -0.60
     ol
    -0.60
     Holiday
    -0.59
    POSITIVE LOGITS
    endix
    1.35
    ropri
    1.34
    alach
    1.29
    roximately
    1.24
    ointment
    1.17
    ortion
    1.16
    rentices
    1.07
    rentice
    1.06
    eals
    1.06
    roach
    1.05
    Activations Density 0.006%

    No Known Activations