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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. 6-RES-JB
    11. 18356
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    Explanations

    references to specific times or instances

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating previous occurrences or memories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Gameplay
    -0.77
    ãĥĥ
    -0.73
    baum
    -0.70
    ilts
    -0.67
    gravity
    -0.66
    osph
    -0.66
    complex
    -0.65
    rium
    -0.65
    bos
    -0.64
    nels
    -0.64
    POSITIVE LOGITS
     recorded
    0.70
     checked
    0.70
    bernatorial
    0.69
     affiliation
    0.68
     goodbye
    0.67
     visited
    0.65
     sighting
    0.64
     anybody
    0.63
     adjourn
    0.63
     exams
    0.62
    Activations Density 0.103%

    No Known Activations