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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. 15765
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    Explanations

    phrases where something might have occurred or could have been different

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express hypothetical situations or missed opportunities

    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
    orate
    -0.68
    aring
    -0.67
     ¶
    -0.63
    arta
    -0.62
    ingly
    -0.62
     Deb
    -0.61
    ors
    -0.59
    anco
    -0.59
    olog
    -0.58
     now
    -0.58
    POSITIVE LOGITS
    MpServer
    0.78
     mistaken
    0.76
    iscons
    0.76
    ãĥĦ
    0.75
    LOCK
    0.71
     Written
    0.69
     Procedures
    0.69
    acea
    0.68
    Sov
    0.68
     GOODMAN
    0.68
    Activations Density 0.126%

    No Known Activations