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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. 4388
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    Explanations

    terms related to current states, conditions, standards, and situations in various contexts including medical practice, fiscal matters, technology, and political structures

    oai_token-act-pair · gpt-3.5-turbo

    references to current situations or conditions across various topics

    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
    imb
    -0.69
    sung
    -0.67
     holiest
    -0.63
    unction
    -0.61
     Lover
    -0.61
    ighters
    -0.60
    oser
    -0.60
    later
    -0.60
     Brach
    -0.59
     Fre
    -0.59
    POSITIVE LOGITS
    APTER
    0.67
     trajectory
    0.64
    hyde
    0.63
    encies
    0.63
     unsustainable
    0.63
    bernatorial
    0.61
    OA
    0.60
     slavery
    0.60
     appropriations
    0.59
    ulner
    0.58
    Activations Density 0.188%

    No Known Activations