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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. 3-RES-JB
    11. 13485
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    Explanations

    terms related to fluctuations, particularly in numerical values

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fluctuations and variations in data or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çĦ
    -0.72
    FU
    -0.72
    Tal
    -0.69
    GAME
    -0.69
    ãģł
    -0.65
    Veter
    -0.64
     Oral
    -0.63
    ãĤ¨ãĥ«
    -0.63
    agra
    -0.63
     Honour
    -0.63
    POSITIVE LOGITS
     fluctuations
    1.35
    uating
    1.18
     fluct
    1.18
     oscill
    1.07
     unpredict
    1.05
    uate
    1.00
    scill
    0.98
    uation
    0.97
    uates
    0.96
    hyde
    0.91
    Activations Density 0.044%

    No Known Activations