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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. 9-RES-JB
    11. 17906
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    Explanations

    phrases indicating the beginning or initiation of events or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the concept of "everything" or "all" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •All the Features!

    No Comments

    Negative Logits
    gee
    -0.78
     Parables
    -0.67
    raviolet
    -0.65
     Skydragon
    -0.63
    lication
    -0.62
    vale
    -0.60
    bal
    -0.59
     Eag
    -0.59
    nor
    -0.59
     suscept
    -0.57
    POSITIVE LOGITS
    udes
    0.98
    ocation
    0.92
    oys
    0.90
    igator
    0.85
    usion
    0.84
    iances
    0.84
    usions
    0.84
    uding
    0.83
    iance
    0.82
    ocative
    0.80
    Activations Density 0.037%

    No Known Activations