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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. 22941
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the availability and accessibility of information or data

    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
    Not in Any Lists

    No Comments

    Negative Logits
    orio
    -0.73
    uko
    -0.69
    osi
    -0.65
    involved
    -0.64
    Ì
    -0.60
    tons
    -0.60
     Herrera
    -0.57
    kos
    -0.55
    gencies
    -0.55
     Cao
    -0.54
    POSITIVE LOGITS
     publicly
    1.13
     anonymously
    1.06
     online
    1.04
     electronically
    1.01
     aloud
    0.95
    online
    0.93
     orally
    0.91
     widely
    0.91
     digitally
    0.85
     freely
    0.85
    Activations Density 0.358%

    No Known Activations