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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. 14583
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    Explanations

    verbs in the infinitive form

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "have"

    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
    eem
    -0.67
     Apart
    -0.60
    catentry
    -0.59
    housing
    -0.58
    icking
    -0.58
    NESS
    -0.57
     Pair
    -0.57
    rift
    -0.56
    TG
    -0.55
    inance
    -0.55
    POSITIVE LOGITS
     been
    1.43
    been
    1.16
     undergone
    1.05
     Been
    1.01
     begun
    1.00
     gone
    0.97
     gotten
    0.96
     become
    0.95
     seen
    0.92
     arisen
    0.90
    Activations Density 0.362%

    No Known Activations