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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. 11-RES-JB
    11. 485
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    Explanations

    references to the resolution 4K (4,000 pixels) in digital content

    oai_token-act-pair · gpt-3.5-turbo

    references to 4K resolution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Whitman
    -0.62
    idence
    -0.61
    INS
    -0.61
    ering
    -0.56
     attendant
    -0.55
    atorium
    -0.54
    esville
    -0.54
     Emerson
    -0.53
    itton
    -0.53
    vier
    -0.53
    POSITIVE LOGITS
    teenth
    1.38
    teen
    1.27
    Kids
    1.16
    chan
    1.14
    Chan
    1.13
    some
    1.13
    eva
    1.04
    th
    1.01
    WD
    0.98
    Runner
    0.98
    Activations Density 0.144%

    No Known Activations