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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. 11733
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    Explanations

    sources of inspiration and influence

    oai_token-act-pair · gpt-3.5-turbo

    references to inspiration and motivation

    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
     Tycoon
    -0.63
    rooms
    -0.61
    roph
    -0.60
    DAQ
    -0.59
    ebus
    -0.58
    yss
    -0.57
    change
    -0.56
     IPM
    -0.56
     Rebell
    -0.55
    rup
    -0.54
    POSITIVE LOGITS
    iration
    0.88
    DragonMagazine
    0.88
     bestowed
    0.83
     stemming
    0.81
    çļ
    0.81
    ãĤ»
    0.79
     corpus
    0.79
     muse
    0.77
    arial
    0.75
     thereof
    0.73
    Activations Density 0.107%

    No Known Activations