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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. 8588
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    INDEX
    Explanations

    mentions of software product lifecycle management

    oai_token-act-pair · gpt-3.5-turbo

    references to "product" 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
     Blaz
    -0.74
    CLASSIFIED
    -0.67
    trop
    -0.65
    roe
    -0.64
     Leone
    -0.64
     moss
    -0.60
    beck
    -0.60
    QUEST
    -0.60
    asons
    -0.59
    bage
    -0.59
    POSITIVE LOGITS
    ivity
    1.27
    ively
    1.24
    ivities
    1.04
     packaging
    0.99
    iveness
    0.97
    umers
    0.86
     marketed
    0.84
    rador
    0.81
    kit
    0.79
    store
    0.78
    Activations Density 0.058%

    No Known Activations