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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. 13560
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    Explanations

    mentions of things being level or aligned with something

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "flush" in various contexts

    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
    umer
    -0.78
    ãģķ
    -0.75
    yers
    -0.73
    ramer
    -0.70
    ourke
    -0.67
    mers
    -0.67
    esis
    -0.67
    ether
    -0.66
    ean
    -0.65
    eters
    -0.65
    POSITIVE LOGITS
     flush
    1.18
     flushed
    0.85
     bis
    0.75
     toilets
    0.73
     succession
    0.70
    idding
    0.69
    BACK
    0.67
    idious
    0.67
    ategory
    0.64
     rid
    0.64
    Activations Density 0.031%

    No Known Activations