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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. 4-RES-JB
    11. 19510
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    Explanations

    the preposition "to"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe importance or significance

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

    No Comments

    Negative Logits
    afety
    -0.75
     lines
    -0.63
     crept
    -0.63
     cass
    -0.60
     proceeds
    -0.60
    ienne
    -0.59
     ranges
    -0.59
    hops
    -0.58
    ihad
    -0.57
     coats
    -0.57
    POSITIVE LOGITS
    asty
    1.04
    ggles
    0.98
    adies
    0.89
     accomplish
    0.82
     behold
    0.82
    asts
    0.81
     cherish
    0.81
     attain
    0.80
    pper
    0.80
     insure
    0.79
    Activations Density 0.269%

    No Known Activations