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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. 7-RES-JB
    11. 392
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    INDEX
    Explanations

    mentions of literacy or literature-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to literacy and literature

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pta
    -0.69
    ressing
    -0.68
    Premium
    -0.68
    Crash
    -0.66
    Connector
    -0.65
    cffffcc
    -0.65
     guiActiveUnfocused
    -0.64
    resses
    -0.64
    EStream
    -0.64
    xual
    -0.60
    POSITIVE LOGITS
    uania
    1.10
    atures
    1.03
    ocity
    0.92
    atur
    0.86
    ights
    0.83
    iculture
    0.83
    acies
    0.83
    acy
    0.80
    ature
    0.80
    icultural
    0.78
    Activations Density 0.048%

    No Known Activations