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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. 20103
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    Explanations

    specific references to the acronym "BC" as well as other acronyms followed by numerical values

    oai_token-act-pair · gpt-3.5-turbo

    references to "BC" in various contexts

    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
    mble
    -0.77
    boats
    -0.72
    ners
    -0.71
    boat
    -0.65
    glers
    -0.65
    essen
    -0.63
    izational
    -0.63
     compartment
    -0.62
    ktop
    -0.62
     Sakura
    -0.62
    POSITIVE LOGITS
    rypt
    0.97
    oreal
    0.94
    ORN
    0.93
    BG
    0.92
    ode
    0.90
    oin
    0.90
    orne
    0.87
    OTT
    0.85
    osta
    0.82
    anan
    0.82
    Activations Density 0.034%

    No Known Activations