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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. 10770
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    Explanations

    references to Justin Bieber and specific terms such as "Basic" or "Berman" that appear across various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to popular culture figures and concepts, particularly related to Justin Bieber and related 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
    ively
    -0.80
    apers
    -0.73
    arily
    -0.70
    othy
    -0.70
    essee
    -0.69
    phis
    -0.69
    ional
    -0.68
    encers
    -0.68
    eur
    -0.68
    iple
    -0.68
    POSITIVE LOGITS
    keley
    0.91
    wana
    0.89
    ishop
    0.83
     Stra
    0.80
    odies
    0.78
    EGIN
    0.78
     Brief
    0.77
    oreal
    0.75
    Shares
    0.74
     Habit
    0.74
    Activations Density 0.080%

    No Known Activations