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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. 14395
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    Explanations

    the name "Bruno" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "ru" or variations of it

    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
    owler
    -0.72
    raints
    -0.71
    note
    -0.62
    wear
    -0.61
     Wanted
    -0.59
    notes
    -0.59
    ORED
    -0.58
    worn
    -0.58
    itutional
    -0.57
     HDR
    -0.56
    POSITIVE LOGITS
    cks
    1.14
    pees
    1.13
    ggle
    1.10
    nder
    1.08
    cker
    1.07
    gger
    1.05
    cci
    1.03
    pee
    1.01
    zzle
    1.00
    llo
    0.97
    Activations Density 0.024%

    No Known Activations