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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. 7760
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    Explanations

    the word "Bang" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to "Bang Bang" as a recurring phrase or title

    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
    ickr
    -0.68
    pmwiki
    -0.68
     elevation
    -0.67
    haps
    -0.64
    VICE
    -0.62
    icient
    -0.61
    eper
    -0.60
    owell
    -0.60
    agonist
    -0.60
    ossession
    -0.59
    POSITIVE LOGITS
    alore
    1.34
     bang
    1.20
    kok
    1.15
    bang
    1.14
    Bang
    1.13
     Bang
    1.05
    adesh
    1.01
    lihood
    0.87
    ularity
    0.84
    ulus
    0.80
    Activations Density 0.018%

    No Known Activations